Li, J.; Liang, W.; Yin, X.; Li, J.; Guan, W.
Multimodal Gait Abnormality Recognition Using a Convolutional Neural Network–Bidirectional Long Short-Term Memory (CNN-BiLSTM) Network Based on Multi-Sensor Data Fusion. Sensors 2023, 23, 9101.
https://doi.org/10.3390/s23229101
AMA Style
Li J, Liang W, Yin X, Li J, Guan W.
Multimodal Gait Abnormality Recognition Using a Convolutional Neural Network–Bidirectional Long Short-Term Memory (CNN-BiLSTM) Network Based on Multi-Sensor Data Fusion. Sensors. 2023; 23(22):9101.
https://doi.org/10.3390/s23229101
Chicago/Turabian Style
Li, Jing, Weisheng Liang, Xiyan Yin, Jun Li, and Weizheng Guan.
2023. "Multimodal Gait Abnormality Recognition Using a Convolutional Neural Network–Bidirectional Long Short-Term Memory (CNN-BiLSTM) Network Based on Multi-Sensor Data Fusion" Sensors 23, no. 22: 9101.
https://doi.org/10.3390/s23229101
APA Style
Li, J., Liang, W., Yin, X., Li, J., & Guan, W.
(2023). Multimodal Gait Abnormality Recognition Using a Convolutional Neural Network–Bidirectional Long Short-Term Memory (CNN-BiLSTM) Network Based on Multi-Sensor Data Fusion. Sensors, 23(22), 9101.
https://doi.org/10.3390/s23229101