LIP-LANGUAGE RECOGNITION AAC SYSTEM BASED ON SURFACE ELECTROMYOGRAPHY

    公开(公告)号:US20210217419A1

    公开(公告)日:2021-07-15

    申请号:US16960496

    申请日:2019-12-31

    Abstract: The present application discloses a lip-language recognition AAC system based on surface electromyography, which includes: a training subsystem configured to collect the facial and neck EMG signals during lip-language movements through the high-density electrode array, improve the signal quality through the signal preprocessing algorithm, classify the lip-language movements through the classification algorithm, select the optimal number of electrodes and optimal positions through the channel selection algorithm, and establish the optimal matching template between the EMG signals and the lip-language information, and upload it to the network terminal for storage; and a detection subsystem configured to collect the EMG signals at the optimal positions during the lip-language movements based on the optimal number and positions of electrodes selected by the training subsystem, call the optimal matching template, classify and decode the EMG signals, recognize the lip-language information, and convert it into corresponding voice and picture information for display in real time.

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