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