Gait recognition based on EMG with different individuals and sample sizes

The electromyography (EMG) has important applications in human gait recognition. Five phases of gait were classified by support vector machine after EMG data de-nosing and feature extraction. The results show that both individual differences and sample sizes have influenced on gait classification accuracy. The work has a certain practical significance in gait recognition.

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