---
_id: '11816'
abstract:
- lang: eng
  text: In this paper, we consider the Maximum Likelihood (ML) estimation of the parameters
    of a GAUSSIAN in the presence of censored, i.e., clipped data. We show that the
    resulting Expectation Maximization (EM) algorithm delivers virtually biasfree
    and efficient estimates, and we discuss its convergence properties. We also discuss
    optimal classification in the presence of censored data. Censored data are frequently
    encountered in wireless LAN positioning systems based on the fingerprinting method
    employing signal strength measurements, due to the limited sensitivity of the
    portable devices. Experiments both on simulated and real-world data demonstrate
    the effectiveness of the proposed algorithms.
author:
- first_name: Manh Kha
  full_name: Hoang, Manh Kha
  last_name: Hoang
- first_name: Reinhold
  full_name: Haeb-Umbach, Reinhold
  id: '242'
  last_name: Haeb-Umbach
citation:
  ama: 'Hoang MK, Haeb-Umbach R. Parameter estimation and classification of censored
    Gaussian data with application to WiFi indoor positioning. In: <i>38th International
    Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>. ; 2013:3721-3725.
    doi:<a href="https://doi.org/10.1109/ICASSP.2013.6638353">10.1109/ICASSP.2013.6638353</a>'
  apa: Hoang, M. K., &#38; Haeb-Umbach, R. (2013). Parameter estimation and classification
    of censored Gaussian data with application to WiFi indoor positioning. In <i>38th
    International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>
    (pp. 3721–3725). <a href="https://doi.org/10.1109/ICASSP.2013.6638353">https://doi.org/10.1109/ICASSP.2013.6638353</a>
  bibtex: '@inproceedings{Hoang_Haeb-Umbach_2013, title={Parameter estimation and
    classification of censored Gaussian data with application to WiFi indoor positioning},
    DOI={<a href="https://doi.org/10.1109/ICASSP.2013.6638353">10.1109/ICASSP.2013.6638353</a>},
    booktitle={38th International Conference on Acoustics, Speech, and Signal Processing
    (ICASSP 2013)}, author={Hoang, Manh Kha and Haeb-Umbach, Reinhold}, year={2013},
    pages={3721–3725} }'
  chicago: Hoang, Manh Kha, and Reinhold Haeb-Umbach. “Parameter Estimation and Classification
    of Censored Gaussian Data with Application to WiFi Indoor Positioning.” In <i>38th
    International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>,
    3721–25, 2013. <a href="https://doi.org/10.1109/ICASSP.2013.6638353">https://doi.org/10.1109/ICASSP.2013.6638353</a>.
  ieee: M. K. Hoang and R. Haeb-Umbach, “Parameter estimation and classification of
    censored Gaussian data with application to WiFi indoor positioning,” in <i>38th
    International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>,
    2013, pp. 3721–3725.
  mla: Hoang, Manh Kha, and Reinhold Haeb-Umbach. “Parameter Estimation and Classification
    of Censored Gaussian Data with Application to WiFi Indoor Positioning.” <i>38th
    International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)</i>,
    2013, pp. 3721–25, doi:<a href="https://doi.org/10.1109/ICASSP.2013.6638353">10.1109/ICASSP.2013.6638353</a>.
  short: 'M.K. Hoang, R. Haeb-Umbach, in: 38th International Conference on Acoustics,
    Speech, and Signal Processing (ICASSP 2013), 2013, pp. 3721–3725.'
date_created: 2019-07-12T05:28:48Z
date_updated: 2022-01-06T06:51:09Z
department:
- _id: '54'
doi: 10.1109/ICASSP.2013.6638353
keyword:
- Gaussian processes
- Global Positioning System
- convergence
- expectation-maximisation algorithm
- fingerprint identification
- indoor radio
- signal classification
- wireless LAN
- EM algorithm
- ML estimation
- WiFi indoor positioning
- censored Gaussian data classification
- clipped data
- convergence properties
- expectation maximization algorithm
- fingerprinting method
- maximum likelihood estimation
- optimal classification
- parameters estimation
- portable devices sensitivity
- signal strength measurements
- wireless LAN positioning systems
- Convergence
- IEEE 802.11 Standards
- Maximum likelihood estimation
- Parameter estimation
- Position measurement
- Training
- Indoor positioning
- censored data
- expectation maximization
- signal strength
- wireless LAN
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/nt/pubs/2013/HoHa2013.pdf
oa: '1'
page: 3721-3725
publication: 38th International Conference on Acoustics, Speech, and Signal Processing
  (ICASSP 2013)
publication_identifier:
  issn:
  - 1520-6149
related_material:
  link:
  - description: Poster
    relation: supplementary_material
    url: https://groups.uni-paderborn.de/nt/pubs/2013/HoHa2013_Poster.pdf
status: public
title: Parameter estimation and classification of censored Gaussian data with application
  to WiFi indoor positioning
type: conference
user_id: '44006'
year: '2013'
...
---
_id: '38104'
abstract:
- lang: eng
  text: "Location-aware services for private use such as GPS-\r\nbased navigation
    systems and GSM-based offerings\r\nhave become quite a success for outdoor applications,\r\nwhile
    indoor positioning systems are still mainly\r\nemployed for professional use only.
    The main reasons\r\nare cost issues and the complexity of setup and\r\nmaintenance
    of those systems. In this paper we\r\npresent CaMPTrack (Camera-based Multiple
    Person\r\nTracker), a prototype of a webcam-based positioning\r\nsystem and discuss
    its application and development\r\nchallenges."
author:
- first_name: Robbie
  full_name: Schäfer, Robbie
  last_name: Schäfer
- first_name: Wolfgang
  full_name: Müller, Wolfgang
  id: '16243'
  last_name: Müller
- first_name: Roman
  full_name: Deimann, Roman
  last_name: Deimann
- first_name: Bernd
  full_name: Kleinjohann, Bernd
  last_name: Kleinjohann
citation:
  ama: 'Schäfer R, Müller W, Deimann R, Kleinjohann B. A Low-Cost Positioning System
    for Location-Aware Applications in Smart Homes. In: <i>Proceedings of the Workshop
    on Mobile Spatial Interaction at CHI 2007</i>. ; 2007.'
  apa: Schäfer, R., Müller, W., Deimann, R., &#38; Kleinjohann, B. (2007). A Low-Cost
    Positioning System for Location-Aware Applications in Smart Homes. <i>Proceedings
    of the Workshop on Mobile Spatial Interaction at CHI 2007</i>.
  bibtex: '@inproceedings{Schäfer_Müller_Deimann_Kleinjohann_2007, place={San Jose,
    USA}, title={A Low-Cost Positioning System for Location-Aware Applications in
    Smart Homes}, booktitle={Proceedings of the Workshop on Mobile Spatial Interaction
    at CHI 2007}, author={Schäfer, Robbie and Müller, Wolfgang and Deimann, Roman
    and Kleinjohann, Bernd}, year={2007} }'
  chicago: Schäfer, Robbie, Wolfgang Müller, Roman Deimann, and Bernd Kleinjohann.
    “A Low-Cost Positioning System for Location-Aware Applications in Smart Homes.”
    In <i>Proceedings of the Workshop on Mobile Spatial Interaction at CHI 2007</i>.
    San Jose, USA, 2007.
  ieee: R. Schäfer, W. Müller, R. Deimann, and B. Kleinjohann, “A Low-Cost Positioning
    System for Location-Aware Applications in Smart Homes,” 2007.
  mla: Schäfer, Robbie, et al. “A Low-Cost Positioning System for Location-Aware Applications
    in Smart Homes.” <i>Proceedings of the Workshop on Mobile Spatial Interaction
    at CHI 2007</i>, 2007.
  short: 'R. Schäfer, W. Müller, R. Deimann, B. Kleinjohann, in: Proceedings of the
    Workshop on Mobile Spatial Interaction at CHI 2007, San Jose, USA, 2007.'
date_created: 2023-01-23T11:50:18Z
date_updated: 2023-01-23T11:50:27Z
department:
- _id: '672'
keyword:
- Positioning Systems
- Camera Based
- Cost Efficiency
- Smart Home Applications
language:
- iso: eng
place: San Jose, USA
publication: Proceedings of the Workshop on Mobile Spatial Interaction at CHI 2007
status: public
title: A Low-Cost Positioning System for Location-Aware Applications in Smart Homes
type: conference
user_id: '5786'
year: '2007'
...