The application of neural network to upper limb function discrimination and torque estimation
Kuo‐Sheng Cheng, Shccng-horng Liou, Wen-line Chen, Din-Yuen Chan · Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society · 1992
In recent years, the neural network model has been widely applied in various areas for its parallel, distributed and adaptive features. This paper presents a mixture one-net-one-class neural network (MONOCNN) to discriminate four primitive functions of the. upper extremity limb, and a modified self-organizing mapping neural network to estimate the resulting torques.