---
_id: '61537'
author:
- first_name: Franziska Margarete
  full_name: Schloots, Franziska Margarete
  id: '33185'
  last_name: Schloots
  orcid: 0009-0008-9673-2615
citation:
  ama: 'Schloots FM. Essen nach Zahlen - Die Quantifizierung von Ernährung im Alltag.
    In: Jürgens JL, Lewandowski K, Aßmann S, eds. <i>Virtuelles Essen- Interdisziplinäre
    Perspektiven auf Ernährungspraktiken im digitalen Zeitalter</i>. Virtuelle Lebenswelten.
    transcript Verlag; 2025:225-251. doi:<a href="https://doi.org/10.14361/9783839476338">10.14361/9783839476338</a>'
  apa: Schloots, F. M. (2025). Essen nach Zahlen - Die Quantifizierung von Ernährung
    im Alltag. In J. L. Jürgens, K. Lewandowski, &#38; S. Aßmann (Eds.), <i>Virtuelles
    Essen- Interdisziplinäre Perspektiven auf Ernährungspraktiken im digitalen Zeitalter</i>
    (pp. 225–251). transcript Verlag. <a href="https://doi.org/10.14361/9783839476338">https://doi.org/10.14361/9783839476338</a>
  bibtex: '@inbook{Schloots_2025, place={Bielefeld}, series={Virtuelle Lebenswelten},
    title={Essen nach Zahlen - Die Quantifizierung von Ernährung im Alltag}, DOI={<a
    href="https://doi.org/10.14361/9783839476338">10.14361/9783839476338</a>}, booktitle={Virtuelles
    Essen- Interdisziplinäre Perspektiven auf Ernährungspraktiken im digitalen Zeitalter},
    publisher={transcript Verlag}, author={Schloots, Franziska Margarete}, editor={Jürgens,
    Jane Lia and Lewandowski, Kira and Aßmann, Sandra}, year={2025}, pages={225–251},
    collection={Virtuelle Lebenswelten} }'
  chicago: 'Schloots, Franziska Margarete. “Essen nach Zahlen - Die Quantifizierung
    von Ernährung im Alltag.” In <i>Virtuelles Essen- Interdisziplinäre Perspektiven
    auf Ernährungspraktiken im digitalen Zeitalter</i>, edited by Jane Lia Jürgens,
    Kira Lewandowski, and Sandra Aßmann, 225–51. Virtuelle Lebenswelten. Bielefeld:
    transcript Verlag, 2025. <a href="https://doi.org/10.14361/9783839476338">https://doi.org/10.14361/9783839476338</a>.'
  ieee: 'F. M. Schloots, “Essen nach Zahlen - Die Quantifizierung von Ernährung im
    Alltag,” in <i>Virtuelles Essen- Interdisziplinäre Perspektiven auf Ernährungspraktiken
    im digitalen Zeitalter</i>, J. L. Jürgens, K. Lewandowski, and S. Aßmann, Eds.
    Bielefeld: transcript Verlag, 2025, pp. 225–251.'
  mla: Schloots, Franziska Margarete. “Essen nach Zahlen - Die Quantifizierung von
    Ernährung im Alltag.” <i>Virtuelles Essen- Interdisziplinäre Perspektiven auf
    Ernährungspraktiken im digitalen Zeitalter</i>, edited by Jane Lia Jürgens et
    al., transcript Verlag, 2025, pp. 225–51, doi:<a href="https://doi.org/10.14361/9783839476338">10.14361/9783839476338</a>.
  short: 'F.M. Schloots, in: J.L. Jürgens, K. Lewandowski, S. Aßmann (Eds.), Virtuelles
    Essen- Interdisziplinäre Perspektiven auf Ernährungspraktiken im digitalen Zeitalter,
    transcript Verlag, Bielefeld, 2025, pp. 225–251.'
date_created: 2025-10-07T13:05:10Z
date_updated: 2025-10-07T13:05:27Z
department:
- _id: '574'
doi: 10.14361/9783839476338
editor:
- first_name: Jane Lia
  full_name: Jürgens, Jane Lia
  last_name: Jürgens
- first_name: Kira
  full_name: Lewandowski, Kira
  last_name: Lewandowski
- first_name: Sandra
  full_name: Aßmann, Sandra
  last_name: Aßmann
keyword:
- Selbstvermessung
- Wearables
- Diet Tracking
- Quantifizierung
language:
- iso: ger
main_file_link:
- open_access: '1'
  url: https://www.transcript-verlag.de/media/pdf/d7/a7/d7/oa9783839476338.pdf
oa: '1'
page: 225-251
place: Bielefeld
publication: Virtuelles Essen- Interdisziplinäre Perspektiven auf Ernährungspraktiken
  im digitalen Zeitalter
publication_identifier:
  isbn:
  - 978-3-8394-7633-8
publication_status: published
publisher: transcript Verlag
series_title: Virtuelle Lebenswelten
status: public
title: Essen nach Zahlen - Die Quantifizierung von Ernährung im Alltag
type: book_chapter
user_id: '33185'
year: '2025'
...
---
_id: '36083'
author:
- first_name: Ioanna
  full_name: Constantiou, Ioanna
  last_name: Constantiou
- first_name: Alivelu
  full_name: Mukkamala, Alivelu
  last_name: Mukkamala
- first_name: Mimmi
  full_name: Sjöklint, Mimmi
  last_name: Sjöklint
- first_name: Matthias
  full_name: Trier, Matthias
  id: '72744'
  last_name: Trier
citation:
  ama: 'Constantiou I, Mukkamala A, Sjöklint M, Trier M. Engaging with self-tracking
    applications: how do users respond to their performance data? <i>European Journal
    of Information Systems</i>. Published online 2022:1-21. doi:<a href="https://doi.org/10.1080/0960085x.2022.2081096">10.1080/0960085x.2022.2081096</a>'
  apa: 'Constantiou, I., Mukkamala, A., Sjöklint, M., &#38; Trier, M. (2022). Engaging
    with self-tracking applications: how do users respond to their performance data?
    <i>European Journal of Information Systems</i>, 1–21. <a href="https://doi.org/10.1080/0960085x.2022.2081096">https://doi.org/10.1080/0960085x.2022.2081096</a>'
  bibtex: '@article{Constantiou_Mukkamala_Sjöklint_Trier_2022, title={Engaging with
    self-tracking applications: how do users respond to their performance data?},
    DOI={<a href="https://doi.org/10.1080/0960085x.2022.2081096">10.1080/0960085x.2022.2081096</a>},
    journal={European Journal of Information Systems}, publisher={Informa UK Limited},
    author={Constantiou, Ioanna and Mukkamala, Alivelu and Sjöklint, Mimmi and Trier,
    Matthias}, year={2022}, pages={1–21} }'
  chicago: 'Constantiou, Ioanna, Alivelu Mukkamala, Mimmi Sjöklint, and Matthias Trier.
    “Engaging with Self-Tracking Applications: How Do Users Respond to Their Performance
    Data?” <i>European Journal of Information Systems</i>, 2022, 1–21. <a href="https://doi.org/10.1080/0960085x.2022.2081096">https://doi.org/10.1080/0960085x.2022.2081096</a>.'
  ieee: 'I. Constantiou, A. Mukkamala, M. Sjöklint, and M. Trier, “Engaging with self-tracking
    applications: how do users respond to their performance data?,” <i>European Journal
    of Information Systems</i>, pp. 1–21, 2022, doi: <a href="https://doi.org/10.1080/0960085x.2022.2081096">10.1080/0960085x.2022.2081096</a>.'
  mla: 'Constantiou, Ioanna, et al. “Engaging with Self-Tracking Applications: How
    Do Users Respond to Their Performance Data?” <i>European Journal of Information
    Systems</i>, Informa UK Limited, 2022, pp. 1–21, doi:<a href="https://doi.org/10.1080/0960085x.2022.2081096">10.1080/0960085x.2022.2081096</a>.'
  short: I. Constantiou, A. Mukkamala, M. Sjöklint, M. Trier, European Journal of
    Information Systems (2022) 1–21.
date_created: 2023-01-11T12:13:54Z
date_updated: 2023-01-29T23:05:59Z
department:
- _id: '195'
doi: 10.1080/0960085x.2022.2081096
keyword:
- Library and Information Sciences
- Information Systems
- Self-Tracking
- User Behaviour
- Discontinuance
language:
- iso: eng
page: 1-21
publication: European Journal of Information Systems
publication_identifier:
  issn:
  - 0960-085X
  - 1476-9344
publication_status: published
publisher: Informa UK Limited
status: public
title: 'Engaging with self-tracking applications: how do users respond to their performance
  data?'
type: journal_article
user_id: '14931'
year: '2022'
...
---
_id: '34640'
article_type: original
author:
- first_name: Franziska Margarete
  full_name: Schloots, Franziska Margarete
  id: '33185'
  last_name: Schloots
citation:
  ama: Schloots FM. Die Tamagotchisierung des Selbst. Zur Anschaulichkeit von animierten
    Körperdaten. <i>Rabbit Eye - Zeitschrift für Filmforschung</i>. 2022;12:65-77.
  apa: Schloots, F. M. (2022). Die Tamagotchisierung des Selbst. Zur Anschaulichkeit
    von animierten Körperdaten. <i>Rabbit Eye - Zeitschrift für Filmforschung</i>,
    <i>12</i>, 65–77.
  bibtex: '@article{Schloots_2022, title={Die Tamagotchisierung des Selbst. Zur Anschaulichkeit
    von animierten Körperdaten}, volume={12}, journal={Rabbit Eye - Zeitschrift für
    Filmforschung}, author={Schloots, Franziska Margarete}, year={2022}, pages={65–77}
    }'
  chicago: 'Schloots, Franziska Margarete. “Die Tamagotchisierung des Selbst. Zur
    Anschaulichkeit von animierten Körperdaten.” <i>Rabbit Eye - Zeitschrift für Filmforschung</i>
    12 (2022): 65–77.'
  ieee: F. M. Schloots, “Die Tamagotchisierung des Selbst. Zur Anschaulichkeit von
    animierten Körperdaten,” <i>Rabbit Eye - Zeitschrift für Filmforschung</i>, vol.
    12, pp. 65–77, 2022.
  mla: Schloots, Franziska Margarete. “Die Tamagotchisierung des Selbst. Zur Anschaulichkeit
    von animierten Körperdaten.” <i>Rabbit Eye - Zeitschrift für Filmforschung</i>,
    vol. 12, 2022, pp. 65–77.
  short: F.M. Schloots, Rabbit Eye - Zeitschrift für Filmforschung 12 (2022) 65–77.
date_created: 2022-12-21T09:01:06Z
date_updated: 2024-10-09T14:24:11Z
ddc:
- '040'
department:
- _id: '574'
external_id:
  pmid:
  - '36393995'
file:
- access_level: closed
  content_type: application/pdf
  creator: fms
  date_created: 2023-01-19T14:12:55Z
  date_updated: 2023-01-19T14:12:55Z
  file_id: '37608'
  file_name: schloots_tamagotchisierung.pdf
  file_size: 377601
  relation: main_file
  success: 1
file_date_updated: 2023-01-19T14:12:55Z
has_accepted_license: '1'
intvolume: '        12'
keyword:
- Wearable
- selft-tracking
- Selbstvermessung
- Animation
- Tamagotchi
- Anschaulichkeit
language:
- iso: ger
page: 65-77
pmid: '1'
publication: Rabbit Eye - Zeitschrift für Filmforschung
publication_identifier:
  issn:
  - 2192-5445
publication_status: published
status: public
title: Die Tamagotchisierung des Selbst. Zur Anschaulichkeit von animierten Körperdaten
type: journal_article
user_id: '33185'
volume: 12
year: '2022'
...
---
_id: '34614'
abstract:
- lang: ger
  text: "Mit steigenden Optimierungsanforderungen an das Individuum wächst auch das
    indivi-\r\nduelle Bedürfnis nach Kontrolle. Dieses kann u. a. durch self tracking-Technologien
    erfüllt werden.\r\nAnhand von drei Fallbeispielen – der Personenwaage, dem Wearable
    und dem habit tracker – zeigt\r\ndieser Aufsatz, wie sich medienbasierte Selbsttechnologien
    im historischen Verlauf intensiviert und\r\nstärker in den Alltag integriert haben.
    Ein besonderer Fokus liegt dabei auf der Ambivalenz dieser\r\nMedien: Ermöglichen
    sie auf der einen Seite zwar eine Selbstkontrolle und stellen so potenziell sta-\r\nbilisierende
    Ressourcen für das Individuum dar, schaffen sie auf der anderen Seite auch neue\r\nAnforderungen,
    die es zu erfüllen gilt."
article_type: original
author:
- first_name: Franziska Margarete
  full_name: Schloots, Franziska Margarete
  id: '33185'
  last_name: Schloots
  orcid: 0009-0008-9673-2615
citation:
  ama: Schloots FM. ‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage,
    Wearable und habit tracker. <i>ffk Journal</i>. 2022;6(7):74-91. doi:<a href="https://doi.org/10.25969/MEDIAREP/18238">10.25969/MEDIAREP/18238</a>
  apa: Schloots, F. M. (2022). ‚Understand what’s happening within‘. Selbstkontrolle
    mit Personenwaage, Wearable und habit tracker. <i>ffk Journal</i>, <i>6</i>(7),
    74–91. <a href="https://doi.org/10.25969/MEDIAREP/18238">https://doi.org/10.25969/MEDIAREP/18238</a>
  bibtex: '@article{Schloots_2022, title={‚Understand what’s happening within‘. Selbstkontrolle
    mit Personenwaage, Wearable und habit tracker}, volume={6}, DOI={<a href="https://doi.org/10.25969/MEDIAREP/18238">10.25969/MEDIAREP/18238</a>},
    number={7}, journal={ffk Journal}, author={Schloots, Franziska Margarete}, year={2022},
    pages={74–91} }'
  chicago: 'Schloots, Franziska Margarete. “‚Understand what’s happening within‘.
    Selbstkontrolle mit Personenwaage, Wearable und habit tracker.” <i>ffk Journal</i>
    6, no. 7 (2022): 74–91. <a href="https://doi.org/10.25969/MEDIAREP/18238">https://doi.org/10.25969/MEDIAREP/18238</a>.'
  ieee: 'F. M. Schloots, “‚Understand what’s happening within‘. Selbstkontrolle mit
    Personenwaage, Wearable und habit tracker,” <i>ffk Journal</i>, vol. 6, no. 7,
    pp. 74–91, 2022, doi: <a href="https://doi.org/10.25969/MEDIAREP/18238">10.25969/MEDIAREP/18238</a>.'
  mla: Schloots, Franziska Margarete. “‚Understand what’s happening within‘. Selbstkontrolle
    mit Personenwaage, Wearable und habit tracker.” <i>ffk Journal</i>, vol. 6, no.
    7, 2022, pp. 74–91, doi:<a href="https://doi.org/10.25969/MEDIAREP/18238">10.25969/MEDIAREP/18238</a>.
  short: F.M. Schloots, ffk Journal 6 (2022) 74–91.
date_created: 2022-12-20T14:20:56Z
date_updated: 2024-11-22T10:09:55Z
ddc:
- '040'
department:
- _id: '574'
doi: 10.25969/MEDIAREP/18238
file:
- access_level: closed
  content_type: application/pdf
  creator: fms
  date_created: 2022-12-20T14:23:57Z
  date_updated: 2022-12-20T14:23:57Z
  file_id: '34616'
  file_name: ffk_journal_07_74-91_Schloots_Selbstkontrolle_.pdf
  file_size: 530069
  relation: main_file
  success: 1
file_date_updated: 2022-12-20T14:23:57Z
has_accepted_license: '1'
intvolume: '         6'
issue: '7'
keyword:
- self-tracking
- Selbsttechnologien
- Wearable
- Bullet Journal
- Personenwaage
- Selbstvermessung
language:
- iso: ger
page: 74-91
publication: ffk Journal
publication_status: published
status: public
title: ‚Understand what’s happening within‘. Selbstkontrolle mit Personenwaage, Wearable
  und habit tracker
type: journal_article
user_id: '33185'
volume: 6
year: '2022'
...
---
_id: '24547'
abstract:
- lang: eng
  text: 'Over the last years, several approaches for the data-driven estimation of
    expected possession value (EPV) in basketball and association football (soccer)
    have been proposed. In this paper, we develop and evaluate PIVOT: the first such
    framework for team handball. Accounting for the fast-paced, dynamic nature and
    relative data scarcity of hand- ball, we propose a parsimonious end-to-end deep
    learning architecture that relies solely on tracking data. This efficient approach
    is capable of predicting the probability that a team will score within the near
    future given the fine-grained spatio-temporal distribution of all players and
    the ball over the last seconds of the game. Our experiments indicate that PIVOT
    is able to produce accurate and calibrated probability estimates, even when trained
    on a relatively small dataset. We also showcase two interactive applications of
    PIVOT for valuing actual and counterfactual player decisions and actions in real-time.'
author:
- first_name: Oliver
  full_name: Müller, Oliver
  id: '72849'
  last_name: Müller
- first_name: Matthew
  full_name: Caron, Matthew
  id: '60721'
  last_name: Caron
- first_name: Michael
  full_name: Döring, Michael
  last_name: Döring
- first_name: Tim
  full_name: Heuwinkel, Tim
  last_name: Heuwinkel
- first_name: Jochen
  full_name: Baumeister, Jochen
  id: '46'
  last_name: Baumeister
  orcid: 0000-0003-2683-5826
citation:
  ama: 'Müller O, Caron M, Döring M, Heuwinkel T, Baumeister J. PIVOT: A Parsimonious
    End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking
    Data. In: <i>8th Workshop on Machine Learning and Data Mining for Sports Analytics
    (ECML PKDD 2021)</i>.'
  apa: 'Müller, O., Caron, M., Döring, M., Heuwinkel, T., &#38; Baumeister, J. (n.d.).
    PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions
    in Handball using Tracking Data. <i>8th Workshop on Machine Learning and Data
    Mining for Sports Analytics (ECML PKDD 2021)</i>. European Conference on Machine
    Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021),
    Online.'
  bibtex: '@inproceedings{Müller_Caron_Döring_Heuwinkel_Baumeister, title={PIVOT:
    A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball
    using Tracking Data}, booktitle={8th Workshop on Machine Learning and Data Mining
    for Sports Analytics (ECML PKDD 2021)}, author={Müller, Oliver and Caron, Matthew
    and Döring, Michael and Heuwinkel, Tim and Baumeister, Jochen} }'
  chicago: 'Müller, Oliver, Matthew Caron, Michael Döring, Tim Heuwinkel, and Jochen
    Baumeister. “PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player
    Actions in Handball Using Tracking Data.” In <i>8th Workshop on Machine Learning
    and Data Mining for Sports Analytics (ECML PKDD 2021)</i>, n.d.'
  ieee: 'O. Müller, M. Caron, M. Döring, T. Heuwinkel, and J. Baumeister, “PIVOT:
    A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball
    using Tracking Data,” presented at the European Conference on Machine Learning
    and Principles and Practice of Knowledge Discovery (ECML PKDD 2021), Online.'
  mla: 'Müller, Oliver, et al. “PIVOT: A Parsimonious End-to-End Learning Framework
    for Valuing Player Actions in Handball Using Tracking Data.” <i>8th Workshop on
    Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021)</i>.'
  short: 'O. Müller, M. Caron, M. Döring, T. Heuwinkel, J. Baumeister, in: 8th Workshop
    on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021), n.d.'
conference:
  end_date: 2021-09-17
  location: Online
  name: European Conference on Machine Learning and Principles and Practice of Knowledge
    Discovery (ECML PKDD 2021)
  start_date: 2021-09-13
date_created: 2021-09-16T08:33:04Z
date_updated: 2023-02-28T08:58:24Z
department:
- _id: '196'
- _id: '172'
keyword:
- expected possession value
- handball
- tracking data
- time series classification
- deep learning
language:
- iso: eng
main_file_link:
- url: https://dtai.cs.kuleuven.be/events/MLSA21/papers/MLSA21_paper_muller.pdf
publication: 8th Workshop on Machine Learning and Data Mining for Sports Analytics
  (ECML PKDD 2021)
publication_status: inpress
status: public
title: 'PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions
  in Handball using Tracking Data'
type: conference
user_id: '60721'
year: '2021'
...
---
_id: '28015'
abstract:
- lang: eng
  text: "Background\r\nUnderstanding changes in dietary intake during puberty could
    aid the mapping of dietary interventions for primary prevention. The present study
    describes dietary changes from childhood to adolescence, and their associations
    with parental education, family income, child education, body mass index (BMI),
    pubertal onset and screen-time sedentary behaviour.\r\nMethods\r\nDietary data
    (n = 1232) were obtained from food frequency questionnaires at the 10- and 15-year
    follow-ups of the GINIplus birth cohort study. Intakes of 17 food groups, macronutrients
    and antioxidant vitamins, were described by a) paired Wilcoxon rank sum tests,
    comparing average intakes at each time-point, and b) Cohen’s kappa “tracking”
    coefficients, measuring stability of intakes (maintenance of relative tertile
    positions across time). Further, associations of changes (tertile position increase
    or decrease vs. tracking) with parental education, family income, child education,
    pubertal onset, BMI, and screen-time, were assessed by logistic regression and
    multinomial logistic regression models stratified by baseline intake tertile.\r\nResults\r\nBoth
    sexes increased average intakes of water and decreased starchy vegetables, margarine
    and dairy. Females decreased meat and retinol intakes and increased vegetables,
    grains, oils and tea. Males decreased fruit and carbohydrates and increased average
    intakes of meat, caloric drinks, water, protein, fat, polyunsaturated fatty acids
    (PUFAs), vitamin C and alpha-tocopherol. Both sexes presented mainly “fair” tracking
    levels [κw = 0.21–0.40]. Females with high (vs. low) parental education were more
    likely to increase their nut intake [OR = 3.8; 95 % CI = (1.7;8.8)], and less
    likely to decrease vitamin C intakes [0.2 (0.1;0.5)], while males were less likely
    to increase egg consumption [0.2 (0.1;0.5)] and n3 PUFAs [0.2 (0.1;0.5)]. Females
    with a higher (vs. low) family income were more likely to maintain medium wholegrain
    intakes [0.2 (0.1;0.7) for decrease vs. tracking, and 0.1 (0.0;0.5) for increase
    vs. tracking], and were less likely to decrease vitamin C intakes [0.2 (0.1;0.6)].
    Males with high education were less likely to increase sugar-sweetened foods [0.1
    (0.1;0.4)]. Finally, BMI in females was negatively associated with decreasing
    protein intakes [0.7 (0.6;0.9)]. In males BMI was positively associated with increasing
    margarine [1.4 (1.1;1.6)] and vitamin C intakes [1.4 (1.1;1.6)], and negatively
    associated with increasing n3 PUFA.\r\nConclusions\r\nAverage dietary intakes
    changed significantly, despite fair tracking levels, suggesting the presence of
    trends in dietary behaviour during puberty. Family income and parental education
    predominantly influenced intake changes. Our results support the rationale for
    dietary interventions targeting children, and suggest that sex-specific subpopulations,
    e.g. low socio-economic status, should be considered for added impact."
article_type: original
author:
- first_name: 'Carla '
  full_name: 'Harris, Carla '
  last_name: Harris
- first_name: Claudia
  full_name: Flexeder, Claudia
  last_name: Flexeder
- first_name: Elisabeth
  full_name: Thiering, Elisabeth
  last_name: Thiering
- first_name: Anette
  full_name: Buyken, Anette
  id: '65985'
  last_name: Buyken
- first_name: Dietrich
  full_name: Berdel, Dietrich
  last_name: Berdel
- first_name: Sibylle
  full_name: Koletzko, Sibylle
  last_name: Koletzko
- first_name: Carl-Peter
  full_name: Bauer, Carl-Peter
  last_name: Bauer
- first_name: Irene
  full_name: Brüske, Irene
  last_name: Brüske
- first_name: Berthold
  full_name: Koletzko, Berthold
  last_name: Koletzko
- first_name: Marie
  full_name: Standl, Marie
  last_name: Standl
citation:
  ama: 'Harris C, Flexeder C, Thiering E, et al. Changes in dietary intake during
    puberty and their determinants: results from the GINIplus birth cohort study.
    <i>BMC Public Health</i>. 2015;15:841.'
  apa: 'Harris, C., Flexeder, C., Thiering, E., Buyken, A., Berdel, D., Koletzko,
    S., Bauer, C.-P., Brüske, I., Koletzko, B., &#38; Standl, M. (2015). Changes in
    dietary intake during puberty and their determinants: results from the GINIplus
    birth cohort study. <i>BMC Public Health</i>, <i>15</i>, 841.'
  bibtex: '@article{Harris_Flexeder_Thiering_Buyken_Berdel_Koletzko_Bauer_Brüske_Koletzko_Standl_2015,
    title={Changes in dietary intake during puberty and their determinants: results
    from the GINIplus birth cohort study}, volume={15}, journal={BMC Public Health},
    author={Harris, Carla  and Flexeder, Claudia and Thiering, Elisabeth and Buyken,
    Anette and Berdel, Dietrich and Koletzko, Sibylle and Bauer, Carl-Peter and Brüske,
    Irene and Koletzko, Berthold and Standl, Marie}, year={2015}, pages={841} }'
  chicago: 'Harris, Carla , Claudia Flexeder, Elisabeth Thiering, Anette Buyken, Dietrich
    Berdel, Sibylle Koletzko, Carl-Peter Bauer, Irene Brüske, Berthold Koletzko, and
    Marie Standl. “Changes in Dietary Intake during Puberty and Their Determinants:
    Results from the GINIplus Birth Cohort Study.” <i>BMC Public Health</i> 15 (2015):
    841.'
  ieee: 'C. Harris <i>et al.</i>, “Changes in dietary intake during puberty and their
    determinants: results from the GINIplus birth cohort study,” <i>BMC Public Health</i>,
    vol. 15, p. 841, 2015.'
  mla: 'Harris, Carla, et al. “Changes in Dietary Intake during Puberty and Their
    Determinants: Results from the GINIplus Birth Cohort Study.” <i>BMC Public Health</i>,
    vol. 15, 2015, p. 841.'
  short: C. Harris, C. Flexeder, E. Thiering, A. Buyken, D. Berdel, S. Koletzko, C.-P.
    Bauer, I. Brüske, B. Koletzko, M. Standl, BMC Public Health 15 (2015) 841.
date_created: 2021-11-27T13:26:27Z
date_updated: 2022-01-06T06:57:50Z
department:
- _id: '35'
- _id: '22'
- _id: '571'
intvolume: '        15'
keyword:
- Puberty
- Dietary intake
- Dietary changes
- Tracking
- Determinants
- Epidemiology
language:
- iso: eng
page: '841'
publication: BMC Public Health
publication_status: published
status: public
title: 'Changes in dietary intake during puberty and their determinants: results from
  the GINIplus birth cohort study'
type: journal_article
user_id: '49428'
volume: 15
year: '2015'
...
---
_id: '11739'
abstract:
- lang: eng
  text: Noise tracking is an important component of speech enhancement algorithms.
    Of the many noise trackers proposed, Minimum Statistics (MS) is a particularly
    popular one due to its simple parameterization and at the same time excellent
    performance. In this paper we propose to further reduce the number of MS parameters
    by giving an alternative derivation of an optimal smoothing constant. At the same
    time the noise tracking performance is improved as is demonstrated by experiments
    employing speech degraded by various noise types and at different SNR values.
author:
- first_name: Aleksej
  full_name: Chinaev, Aleksej
  last_name: Chinaev
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Chinaev A, Haeb-Umbach R. On Optimal Smoothing in Minimum Statistics Based
    Noise Tracking. In: <i>Interspeech 2015</i>. ; 2015:1785-1789.'
  apa: Chinaev, A., &#38; Haeb-Umbach, R. (2015). On Optimal Smoothing in Minimum
    Statistics Based Noise Tracking. In <i>Interspeech 2015</i> (pp. 1785–1789).
  bibtex: '@inproceedings{Chinaev_Haeb-Umbach_2015, title={On Optimal Smoothing in
    Minimum Statistics Based Noise Tracking}, booktitle={Interspeech 2015}, author={Chinaev,
    Aleksej and Haeb-Umbach, Reinhold}, year={2015}, pages={1785–1789} }'
  chicago: Chinaev, Aleksej, and Reinhold Haeb-Umbach. “On Optimal Smoothing in Minimum
    Statistics Based Noise Tracking.” In <i>Interspeech 2015</i>, 1785–89, 2015.
  ieee: A. Chinaev and R. Haeb-Umbach, “On Optimal Smoothing in Minimum Statistics
    Based Noise Tracking,” in <i>Interspeech 2015</i>, 2015, pp. 1785–1789.
  mla: Chinaev, Aleksej, and Reinhold Haeb-Umbach. “On Optimal Smoothing in Minimum
    Statistics Based Noise Tracking.” <i>Interspeech 2015</i>, 2015, pp. 1785–89.
  short: 'A. Chinaev, R. Haeb-Umbach, in: Interspeech 2015, 2015, pp. 1785–1789.'
date_created: 2019-07-12T05:27:19Z
date_updated: 2022-01-06T06:51:08Z
department:
- _id: '54'
keyword:
- speech enhancement
- noise tracking
- optimal smoothing
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2015/ChHa15.pdf
oa: '1'
page: 1785-1789
publication: Interspeech 2015
related_material:
  link:
  - description: Poster
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2015/ChHa15_Poster.pdf
status: public
title: On Optimal Smoothing in Minimum Statistics Based Noise Tracking
type: conference
user_id: '44006'
year: '2015'
...
---
_id: '11850'
abstract:
- lang: eng
  text: In this paper, we present a novel blocking matrix and fixed beamformer design
    for a generalized sidelobe canceler for speech enhancement in a reverberant enclosure.
    They are based on a new method for estimating the acoustical transfer function
    ratios in the presence of stationary noise. The estimation method relies on solving
    a generalized eigenvalue problem in each frequency bin. An adaptive eigenvector
    tracking utilizing the power iteration method is employed and shown to achieve
    a high convergence speed. Simulation results demonstrate that the proposed beamformer
    leads to better noise and interference reduction and reduced speech distortions
    compared to other blocking matrix designs from the literature.
author:
- first_name: Alexander
  full_name: Krueger, Alexander
  last_name: Krueger
- first_name: Ernst
  full_name: Warsitz, Ernst
  last_name: Warsitz
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: Krueger A, Warsitz E, Haeb-Umbach R. Speech Enhancement With a GSC-Like Structure
    Employing Eigenvector-Based Transfer Function Ratios Estimation. <i>IEEE Transactions
    on Audio, Speech, and Language Processing</i>. 2011;19(1):206-219. doi:<a href="https://doi.org/10.1109/TASL.2010.2047324">10.1109/TASL.2010.2047324</a>
  apa: Krueger, A., Warsitz, E., &#38; Haeb-Umbach, R. (2011). Speech Enhancement
    With a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios
    Estimation. <i>IEEE Transactions on Audio, Speech, and Language Processing</i>,
    <i>19</i>(1), 206–219. <a href="https://doi.org/10.1109/TASL.2010.2047324">https://doi.org/10.1109/TASL.2010.2047324</a>
  bibtex: '@article{Krueger_Warsitz_Haeb-Umbach_2011, title={Speech Enhancement With
    a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios Estimation},
    volume={19}, DOI={<a href="https://doi.org/10.1109/TASL.2010.2047324">10.1109/TASL.2010.2047324</a>},
    number={1}, journal={IEEE Transactions on Audio, Speech, and Language Processing},
    author={Krueger, Alexander and Warsitz, Ernst and Haeb-Umbach, Reinhold}, year={2011},
    pages={206–219} }'
  chicago: 'Krueger, Alexander, Ernst Warsitz, and Reinhold Haeb-Umbach. “Speech Enhancement
    With a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios
    Estimation.” <i>IEEE Transactions on Audio, Speech, and Language Processing</i>
    19, no. 1 (2011): 206–19. <a href="https://doi.org/10.1109/TASL.2010.2047324">https://doi.org/10.1109/TASL.2010.2047324</a>.'
  ieee: A. Krueger, E. Warsitz, and R. Haeb-Umbach, “Speech Enhancement With a GSC-Like
    Structure Employing Eigenvector-Based Transfer Function Ratios Estimation,” <i>IEEE
    Transactions on Audio, Speech, and Language Processing</i>, vol. 19, no. 1, pp.
    206–219, 2011.
  mla: Krueger, Alexander, et al. “Speech Enhancement With a GSC-Like Structure Employing
    Eigenvector-Based Transfer Function Ratios Estimation.” <i>IEEE Transactions on
    Audio, Speech, and Language Processing</i>, vol. 19, no. 1, 2011, pp. 206–19,
    doi:<a href="https://doi.org/10.1109/TASL.2010.2047324">10.1109/TASL.2010.2047324</a>.
  short: A. Krueger, E. Warsitz, R. Haeb-Umbach, IEEE Transactions on Audio, Speech,
    and Language Processing 19 (2011) 206–219.
date_created: 2019-07-12T05:29:28Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
doi: 10.1109/TASL.2010.2047324
intvolume: '        19'
issue: '1'
keyword:
- acoustical transfer function ratio
- adaptive eigenvector tracking
- array signal processing
- beamformer design
- blocking matrix
- eigenvalues and eigenfunctions
- eigenvector-based transfer function ratios estimation
- generalized sidelobe canceler
- interference reduction
- iterative methods
- power iteration method
- reduced speech distortions
- reverberant enclosure
- reverberation
- speech enhancement
- stationary noise
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2011/KrWaHa11.pdf
oa: '1'
page: 206-219
publication: IEEE Transactions on Audio, Speech, and Language Processing
status: public
title: Speech Enhancement With a GSC-Like Structure Employing Eigenvector-Based Transfer
  Function Ratios Estimation
type: journal_article
user_id: '44006'
volume: 19
year: '2011'
...
---
_id: '11723'
abstract:
- lang: eng
  text: In this paper we present a novel vehicle tracking algorithm, which is based
    on multi-level sensor fusion of GPS (global positioning system) with Inertial
    Measurement Unit sensor data. It is shown that the robustness of the system to
    temporary dropouts of the GPS signal, which may occur due to limited visibility
    of satellites in narrow street canyons or tunnels, is greatly improved by sensor
    fusion. We further demonstrate how the observation and state noise covariances
    of the employed Kalman filters can be estimated alongside the filtering by an
    application of the Expectation-Maximization algorithm. The proposed time-variant
    multi-level Kalman filter is shown to outperform an Interacting Multiple Model
    approach while at the same time being computationally less demanding.
author:
- first_name: Maik
  full_name: Bevermeier, Maik
  last_name: Bevermeier
- first_name: Sven
  full_name: Peschke, Sven
  last_name: Peschke
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Bevermeier M, Peschke S, Haeb-Umbach R. Robust vehicle localization based
    on multi-level sensor fusion and online parameter estimation. In: <i>6th Workshop
    on Positioning Navigation and Communication (WPNC 2009)</i>. ; 2009:235-242. doi:<a
    href="https://doi.org/10.1109/WPNC.2009.4907833">10.1109/WPNC.2009.4907833</a>'
  apa: Bevermeier, M., Peschke, S., &#38; Haeb-Umbach, R. (2009). Robust vehicle localization
    based on multi-level sensor fusion and online parameter estimation. In <i>6th
    Workshop on Positioning Navigation and Communication (WPNC 2009)</i> (pp. 235–242).
    <a href="https://doi.org/10.1109/WPNC.2009.4907833">https://doi.org/10.1109/WPNC.2009.4907833</a>
  bibtex: '@inproceedings{Bevermeier_Peschke_Haeb-Umbach_2009, title={Robust vehicle
    localization based on multi-level sensor fusion and online parameter estimation},
    DOI={<a href="https://doi.org/10.1109/WPNC.2009.4907833">10.1109/WPNC.2009.4907833</a>},
    booktitle={6th Workshop on Positioning Navigation and Communication (WPNC 2009)},
    author={Bevermeier, Maik and Peschke, Sven and Haeb-Umbach, Reinhold}, year={2009},
    pages={235–242} }'
  chicago: Bevermeier, Maik, Sven Peschke, and Reinhold Haeb-Umbach. “Robust Vehicle
    Localization Based on Multi-Level Sensor Fusion and Online Parameter Estimation.”
    In <i>6th Workshop on Positioning Navigation and Communication (WPNC 2009)</i>,
    235–42, 2009. <a href="https://doi.org/10.1109/WPNC.2009.4907833">https://doi.org/10.1109/WPNC.2009.4907833</a>.
  ieee: M. Bevermeier, S. Peschke, and R. Haeb-Umbach, “Robust vehicle localization
    based on multi-level sensor fusion and online parameter estimation,” in <i>6th
    Workshop on Positioning Navigation and Communication (WPNC 2009)</i>, 2009, pp.
    235–242.
  mla: Bevermeier, Maik, et al. “Robust Vehicle Localization Based on Multi-Level
    Sensor Fusion and Online Parameter Estimation.” <i>6th Workshop on Positioning
    Navigation and Communication (WPNC 2009)</i>, 2009, pp. 235–42, doi:<a href="https://doi.org/10.1109/WPNC.2009.4907833">10.1109/WPNC.2009.4907833</a>.
  short: 'M. Bevermeier, S. Peschke, R. Haeb-Umbach, in: 6th Workshop on Positioning
    Navigation and Communication (WPNC 2009), 2009, pp. 235–242.'
date_created: 2019-07-12T05:27:01Z
date_updated: 2022-01-06T06:51:07Z
department:
- _id: '54'
doi: 10.1109/WPNC.2009.4907833
keyword:
- covariance matrices
- expectation-maximisation algorithm
- expectation-maximization algorithm
- global positioning system
- Global Positioning System
- GPS
- inertial measurement unit
- interacting multiple model approach
- Kalman filters
- multilevel sensor fusion
- narrow street canyons
- narrow tunnels
- online parameter estimation
- parameter estimation
- road vehicles
- robust vehicle localization
- sensor fusion
- state noise covariances
- time-variant multilevel Kalman filter
- vehicle tracking algorithm
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2009/BePeHa09.pdf
oa: '1'
page: 235-242
publication: 6th Workshop on Positioning Navigation and Communication (WPNC 2009)
status: public
title: Robust vehicle localization based on multi-level sensor fusion and online parameter
  estimation
type: conference
user_id: '44006'
year: '2009'
...
---
_id: '11724'
abstract:
- lang: eng
  text: In this paper we present a novel vehicle tracking method which is based on
    multi-stage Kalman filtering of GPS and IMU sensor data. After individual Kalman
    filtering of GPS and IMU measurements the estimates of the orientation of the
    vehicle are combined in an optimal manner to improve the robustness towards drift
    errors. The tracking algorithm incorporates the estimation of time-variant covariance
    parameters by using an iterative block Expectation-Maximization algorithm to account
    for time-variant driving conditions and measurement quality. The proposed system
    is compared to an interacting multiple model approach (IMM) and achieves improved
    localization accuracy at lower computational complexity. Furthermore we show how
    the joint parameter estimation and localizaiton can be conducted with streaming
    input data to be able to track vehicles in a real driving environment.
author:
- first_name: Maik
  full_name: Bevermeier, Maik
  last_name: Bevermeier
- first_name: Sven
  full_name: Peschke, Sven
  last_name: Peschke
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Bevermeier M, Peschke S, Haeb-Umbach R. Joint Parameter Estimation and Tracking
    in a Multi-Stage Kalman Filter for Vehicle Positioning. In: <i>IEEE 69th Vehicular
    Technology Conference (VTC 2009 Spring)</i>. ; 2009:1-5. doi:<a href="https://doi.org/10.1109/VETECS.2009.5073634">10.1109/VETECS.2009.5073634</a>'
  apa: Bevermeier, M., Peschke, S., &#38; Haeb-Umbach, R. (2009). Joint Parameter
    Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning.
    In <i>IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)</i> (pp. 1–5).
    <a href="https://doi.org/10.1109/VETECS.2009.5073634">https://doi.org/10.1109/VETECS.2009.5073634</a>
  bibtex: '@inproceedings{Bevermeier_Peschke_Haeb-Umbach_2009, title={Joint Parameter
    Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning},
    DOI={<a href="https://doi.org/10.1109/VETECS.2009.5073634">10.1109/VETECS.2009.5073634</a>},
    booktitle={IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)}, author={Bevermeier,
    Maik and Peschke, Sven and Haeb-Umbach, Reinhold}, year={2009}, pages={1–5} }'
  chicago: Bevermeier, Maik, Sven Peschke, and Reinhold Haeb-Umbach. “Joint Parameter
    Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning.”
    In <i>IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)</i>, 1–5, 2009.
    <a href="https://doi.org/10.1109/VETECS.2009.5073634">https://doi.org/10.1109/VETECS.2009.5073634</a>.
  ieee: M. Bevermeier, S. Peschke, and R. Haeb-Umbach, “Joint Parameter Estimation
    and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning,” in <i>IEEE
    69th Vehicular Technology Conference (VTC 2009 Spring)</i>, 2009, pp. 1–5.
  mla: Bevermeier, Maik, et al. “Joint Parameter Estimation and Tracking in a Multi-Stage
    Kalman Filter for Vehicle Positioning.” <i>IEEE 69th Vehicular Technology Conference
    (VTC 2009 Spring)</i>, 2009, pp. 1–5, doi:<a href="https://doi.org/10.1109/VETECS.2009.5073634">10.1109/VETECS.2009.5073634</a>.
  short: 'M. Bevermeier, S. Peschke, R. Haeb-Umbach, in: IEEE 69th Vehicular Technology
    Conference (VTC 2009 Spring), 2009, pp. 1–5.'
date_created: 2019-07-12T05:27:02Z
date_updated: 2022-01-06T06:51:07Z
department:
- _id: '54'
doi: 10.1109/VETECS.2009.5073634
keyword:
- computational complexity
- expectation-maximisation algorithm
- Global Positioning System
- inertial measurement unit
- inertial navigation
- interacting multiple model
- iterative block expectation-maximization algorithm
- Kalman filters
- multi-stage Kalman filter
- parameter estimation
- road vehicles
- vehicle positioning
- vehicle tracking
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2009/BePeHa09-1.pdf
oa: '1'
page: 1-5
publication: IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)
status: public
title: Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for
  Vehicle Positioning
type: conference
user_id: '44006'
year: '2009'
...
---
_id: '11931'
abstract:
- lang: eng
  text: The paper is concerned with binaural signal processing for a bimodal human-robot
    interface with hearing and vision. The two microphone signals are processed to
    obtain an enhanced single-channel input signal for the subsequent speech recognizer
    and to localize the acoustic source, an important information for establishing
    a natural human-robot communication. We utilize a robust adaptive algorithm for
    filter-and-sum beamforming (FSB) and extract speaker direction information from
    the resulting FIR filter coefficients. Further, particle filtering is applied
    which conducts a nonlinear Bayesian tracking of speaker movement. Good location
    accuracy can be achieved even in highly reverberant environments. The results
    obtained outperform the conventional generalized cross correlation (GCC) method.
author:
- first_name: Ernst
  full_name: Warsitz, Ernst
  last_name: Warsitz
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Warsitz E, Haeb-Umbach R. Robust speaker direction estimation with particle
    filtering. In: <i>IEEE Workshop on Multimedia Signal Processing (MMSP 2004)</i>.
    ; 2004:367-370. doi:<a href="https://doi.org/10.1109/MMSP.2004.1436569">10.1109/MMSP.2004.1436569</a>'
  apa: Warsitz, E., &#38; Haeb-Umbach, R. (2004). Robust speaker direction estimation
    with particle filtering. In <i>IEEE Workshop on Multimedia Signal Processing (MMSP
    2004)</i> (pp. 367–370). <a href="https://doi.org/10.1109/MMSP.2004.1436569">https://doi.org/10.1109/MMSP.2004.1436569</a>
  bibtex: '@inproceedings{Warsitz_Haeb-Umbach_2004, title={Robust speaker direction
    estimation with particle filtering}, DOI={<a href="https://doi.org/10.1109/MMSP.2004.1436569">10.1109/MMSP.2004.1436569</a>},
    booktitle={IEEE Workshop on Multimedia Signal Processing (MMSP 2004)}, author={Warsitz,
    Ernst and Haeb-Umbach, Reinhold}, year={2004}, pages={367–370} }'
  chicago: Warsitz, Ernst, and Reinhold Haeb-Umbach. “Robust Speaker Direction Estimation
    with Particle Filtering.” In <i>IEEE Workshop on Multimedia Signal Processing
    (MMSP 2004)</i>, 367–70, 2004. <a href="https://doi.org/10.1109/MMSP.2004.1436569">https://doi.org/10.1109/MMSP.2004.1436569</a>.
  ieee: E. Warsitz and R. Haeb-Umbach, “Robust speaker direction estimation with particle
    filtering,” in <i>IEEE Workshop on Multimedia Signal Processing (MMSP 2004)</i>,
    2004, pp. 367–370.
  mla: Warsitz, Ernst, and Reinhold Haeb-Umbach. “Robust Speaker Direction Estimation
    with Particle Filtering.” <i>IEEE Workshop on Multimedia Signal Processing (MMSP
    2004)</i>, 2004, pp. 367–70, doi:<a href="https://doi.org/10.1109/MMSP.2004.1436569">10.1109/MMSP.2004.1436569</a>.
  short: 'E. Warsitz, R. Haeb-Umbach, in: IEEE Workshop on Multimedia Signal Processing
    (MMSP 2004), 2004, pp. 367–370.'
date_created: 2019-07-12T05:31:01Z
date_updated: 2022-01-06T06:51:12Z
department:
- _id: '54'
doi: 10.1109/MMSP.2004.1436569
keyword:
- bimodal human-robot interface
- binaural signal processing
- enhanced single-channel input signal
- filter-and-sum beamforming
- filtering theory
- FIR filter coefficient
- generalized cross correlation method
- microphones
- microphone signal
- nonlinear Bayesian tracking
- particle filtering
- robust adaptive algorithm
- robust speaker direction estimation
- signal processing
- speech enhancement
- speech recognition
- speech recognizer
- user interfaces
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2004/WaHa04.pdf
oa: '1'
page: 367-370
publication: IEEE Workshop on Multimedia Signal Processing (MMSP 2004)
status: public
title: Robust speaker direction estimation with particle filtering
type: conference
user_id: '44006'
year: '2004'
...
