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The application of hidden Markov model (HMM) to recognize gait phase using electromyographic (EMG) signals is described. Four time-domain features are extracted within a time segment of each channel of EMG signals to preserve pattern structure. According to the division of the gait cycle, the structure of HMM is determined, in which each state is associated with a gait phase. A modified Baum-Welch...
This paper describes the application of hidden Markov model (HMM) to recognition of gait mode based on electromyographic (EMG) signals. Four types of time-domain features were extracted from the EMG signals of selected muscles within a time segment. According to the division of the gait phase, the structure of HMM was determined, in which each state is associated with a gait phase. A modified Baum-Welch...
Force sensitive tablet (F-Tablet) is a novel handwriting input device, it can capture two dimension torque and three dimension force information directly. With the force and torque information, handwriting recognition and signature verification will be more efficient. This paper discusses a handwriting recognition process which firstly utilizes the novel force data to extract strokes of Chinese characters...
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