Continuous grip force measuring device and method based on bioimpedance tomography

Abstract

The invention belongs to the technical field of human-machine interface, and particularly relates to a continuous grip force measuring device and method based on bioimpedance tomography. The device and method aim to solve the problem that the existing grip force measuring method based on electromyographic signals is complex in operation, and the measurement results are affected by the measurementposition and the sweat. The device comprises a sensing portion and a measuring portion. The measuring portion comprises a multi-way gating circuit, a signal generating circuit, a signal collecting circuit and a main controller. The sensing portion is an annular flexible member, and the inner side surface is uniformly and annularly provided with a plurality of electrodes. The multi-way gating circuit receives a timing control signal of the main controller and a signal of the signal generating circuit, strobes and excites the electrodes and transmits the signal between the non-excited electrodesto the signal collecting circuit, and the signal collecting circuit processes the signal and transmits it to the main controller for grip force calculation. The device measures the force non-invasively, extracts morphological information from the ulnar flexor muscle group, and achieves continuous estimation of grip force.

Description

technical field [0001] The invention belongs to the technical field of man-machine interface, and in particular relates to a continuous grip force measurement device and method based on bio-impedance tomography. Background technique [0002] The human-machine interface system plays an important role in the control tasks of wearable robots. Its function is to transmit the motion intention information to the robot drive system, and drive the robot to move according to human instructions. Effective extraction of human motion information is the first key link to solve this problem. In existing products and research, based on optical sensing (such as cameras, somatosensory sensing devices) and mechanical signal sensing (such as data gloves) The method realizes the accurate extraction of the kinematics information of human upper limbs, and also obtains better practical results in robot control tasks. However, these two sensing methods cannot directly extract the skeletal muscle c...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above-mentioned problems in the prior art, that is, the operation of the grip strength measurement method based on electromyographic signals is complicated, and the measurement results are affected by factors such as the measurement position, the present invention provides a continuous grip strength measurement device based on bio-impedance tomography, It includes a sensing unit and a measuring unit; the measuring unit includes a multi-channel gate circuit, a signal generation circuit, a signal acquisition circuit, and a main controller;

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