Buyun Wang's research while affiliated with Anhui Polytechnic University and other places

Publication (1)

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Gait phase detection is of great significance in the field of motion analysis and exoskeleton-assisted walking, and can realize the accurate control of exoskeleton robots. Therefore, in order to obtain accurate gait information and ensure good gait phase detection accuracy, a gait recognition framework based on the New Hidden Markov Model (NHMM) is...


... The authors used the public dataset ADSC-AWD for their experiments and reported an accuracy rate of 95.49%. To improve the accuracy of human gait detection, Wang et al. [115,116] proposed a method using the New Hidden Markov Model (NHMM) and placed multiple sensors on eight individuals to record their body movements. They employed multiple classifiers, such as HMM, SVM, and LSTM, and achieved an overall accuracy rate of 94.7%. ...