Joint Angles Estimation Based on Center of Force With Artificial Neural Network and Convolutional Neural Network

• Published in: IEEE sensors journal Vol. 23; no. 23; pp. 29761 - 29773
• Main Authors: Chhoeum, Vantha, Min, Se Dong
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial neural network (ANN); Artificial neural networks; Cameras; center of force (CoF); convolution neural network (CNN); Correlation coefficients; Data models; estimation; Foot; foot data; Force; Gait; gait speed; joint angles; Kinematics; Knee; Machine learning; Neural networks; Root-mean-square errors; Running; Sensors; Software

The current trend of assessing joint angles could be conducted through machines or deep learning (DL) relies on various input data. The development of different types of DL models using foot data may avoid finding optimal sensor positions and direct contact with human skin and can be accessible for...