Invention Grant
- Patent Title: Recognizing gestures from forearm EMG signals
- Patent Title (中): 识别前臂EMG信号的手势
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Application No.: US12146471Application Date: 2008-06-26
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Publication No.: US08447704B2Publication Date: 2013-05-21
- Inventor: Desney Tan , Dan Morris , Scott Saponas , Ravin Balakrishnan
- Applicant: Desney Tan , Dan Morris , Scott Saponas , Ravin Balakrishnan
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Agency: Lyon & Harr, LLP
- Agent Mark A. Watson
- Main IPC: G06F15/18
- IPC: G06F15/18

Abstract:
A machine learning model is trained by instructing a user to perform proscribed gestures, sampling signals from EMG sensors arranged arbitrarily on the user's forearm with respect to locations of muscles in the forearm, extracting feature samples from the sampled signals, labeling the feature samples according to the corresponding gestures instructed to be performed, and training the machine learning model with the labeled feature samples. Subsequently, gestures may be recognized using the trained machine learning model by sampling signals from the EMG sensors, extracting from the signals unlabeled feature samples of a same type as those extracted during the training, passing the unlabeled feature samples to the machine learning model, and outputting from the machine learning model indicia of a gesture classified by the machine learning model.
Public/Granted literature
- US20090327171A1 RECOGNIZING GESTURES FROM FOREARM EMG SIGNALS Public/Granted day:2009-12-31
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