The invention relates to a myoelectric
prosthesis gesture and force control method and belongs to the technical field of myoelectric
prosthesis. The method comprises the steps of acquiring
forearm surface electromyogram signals; transmitting the multiple channels of surface electromyogram signals into a gesture identification model and a
finger force identification model by segments through a
moving window; in the gesture identification model, detecting the mobile segment of each
signal firstly, extracting biological electromyogram
signal feature information, and conducting
data dimension reduction on the feature information; conducting real-time action identification and classification according to the feature information obtained after dimension reduction; in the
finger force identification model, conducting normalization on
original data of the
forearm surface electromyogram signals, selecting a channel of surface electromyogram signals most closely related to each
finger force linearly through
correlation analysis, and conducting
linear control on the finger force of myoelectric
prosthesis with the surface electromyogram signals corresponding to different fingers respectively. By the adoption of the method, a prosthesis user can naturally and directly control the gesture and finger force of myoelectric prosthesis to achieve basic daily movement, and therefore the identity sense and living convenience of the prosthesis user are improved.