Human gait analysis using hybrid convolutional neural networks

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This paper analyses the combination of IMU sensors and electromyography sensors (EMG) to improve the identification accuracy of human movements. We propose the hybrid convolutional neural network (CNN) and long short-term memory neuron network (LSTM) for the human gait analysis problem to achieve an accuracy of 0.9418, better than other models including pure CNN models.
Nội dung trích xuất từ tài liệu:
Human gait analysis using hybrid convolutional neural networks

Tìm kiếm theo từ khóa liên quan:

Computer science and cybernetics Human gait analysis Wearable IoT devices Time-series analysis Deep learning

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