公开(公告)号：US20210217419A1

公开(公告)日：2021-07-15

申请号：US16960496

申请日：2019-12-31

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES

Inventor： Shixiong CHEN ,  Mingxing ZHU ,  Xiaochen WANG ,  Guanglin LI ,  Zijian YANG ,  Xin WANG

IPC: G10L15/25 ,  G10L15/00 ,  G10L25/51 ,  G06F3/01

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.

公开(公告)号：US20210128049A1

公开(公告)日：2021-05-06

申请号：US16927948

申请日：2020-07-13

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY

Inventor： Shixiong CHEN ,  Mingxing ZHU ,  Guanglin LI ,  Zijian YANG ,  Jiashuo ZHUANG ,  Xiaochen WANG ,  Xin WANG

IPC: A61B5/394 ,  A61B5/296 ,  A61B5/397 ,  A61B5/00 ,  G16H50/50

Abstract: A pronunciation function evaluation system based on array high-density surface electromyography, this system includes a host computer and a slave computer, the slave computer is configured to obtain faciocervical electromyography signal through electromyography electrode arrays in a pronunciation process and to transmit the faciocervical electromyography signals to the host computer; the host computer is configured to analyze a physiological relevance between faciocervical array high-density electromyography signal features change and pronunciation function in the pronunciation process, to establish a three-dimensional dynamic energy distribution diagram of faciocervical muscular movement in the pronunciation process, to obtain dynamic visual temporal and spatial characteristic of articulatory muscles related to pronunciation, to extract electromyography features, to establish a faciocervical electromyography feature distribution standard database with normal pronunciation function, and to analyze a dysfunction condition and a damage degree of the pronunciation muscle group using a template matching and differentiation analysis algorithm.