{"author":[{"full_name":"Boschmann, Alexander","last_name":"Boschmann","first_name":"Alexander"},{"id":"398","last_name":"Platzner","full_name":"Platzner, Marco","first_name":"Marco"}],"year":"2014","status":"public","date_created":"2019-07-10T11:02:58Z","citation":{"ieee":"A. Boschmann and M. Platzner, “A computer vision-based approach to high density EMG pattern recognition using structural similarity,” in <i>Proc. MyoElectric Controls Symposium (MEC)</i>, 2014.","bibtex":"@inproceedings{Boschmann_Platzner_2014, title={A computer vision-based approach to high density EMG pattern recognition using structural similarity}, booktitle={Proc. MyoElectric Controls Symposium (MEC)}, author={Boschmann, Alexander and Platzner, Marco}, year={2014} }","ama":"Boschmann A, Platzner M. A computer vision-based approach to high density EMG pattern recognition using structural similarity. In: <i>Proc. MyoElectric Controls Symposium (MEC)</i>. ; 2014.","mla":"Boschmann, Alexander, and Marco Platzner. “A Computer Vision-Based Approach to High Density EMG Pattern Recognition Using Structural Similarity.” <i>Proc. MyoElectric Controls Symposium (MEC)</i>, 2014.","apa":"Boschmann, A., &#38; Platzner, M. (2014). A computer vision-based approach to high density EMG pattern recognition using structural similarity. In <i>Proc. MyoElectric Controls Symposium (MEC)</i>.","short":"A. Boschmann, M. Platzner, in: Proc. MyoElectric Controls Symposium (MEC), 2014.","chicago":"Boschmann, Alexander, and Marco Platzner. “A Computer Vision-Based Approach to High Density EMG Pattern Recognition Using Structural Similarity.” In <i>Proc. MyoElectric Controls Symposium (MEC)</i>, 2014."},"user_id":"3118","department":[{"_id":"78"}],"_id":"10632","title":"A computer vision-based approach to high density EMG pattern recognition using structural similarity","language":[{"iso":"eng"}],"publication":"Proc. MyoElectric Controls Symposium (MEC)","type":"conference","date_updated":"2022-01-06T06:50:49Z"}