Distributed multi-channel signal acquisition system for human lower-limb motion intention recognition

Abstract

The invention discloses a distributed multi-channel signal acquisition system for human lower-limb motion intention recognition. The signal acquisition system adopts a distributed structure and comprises a PC, a host module, a CAN bus and slave modules, wherein the PC is connected with the host module through an RS232 interface; the host module and the slave modules are connected through the CAN bus; the slave modules are in charge of signal acquisition and signal processing; the host module is in charge of multi-source signal fusion and data communication control; and a thin film pressure sensor is adopted to acquire the pressure of human feet, and a magnetic angle sensor is adopted to acquire hip joint, knee joint and ankle joint angle signals of human lower limbs. According to the distributed multi-channel signal acquisition system, as the scattered and mutually independent slave modules are adopted, the lead wire lengths of the sensors can be shortened, and electromagnetic interference on the sensors from the outside is reduced; the modules communicate with each other through the CAN bus with very high reliability; and a high-speed ARM single-chip microcomputer serves as a main controller, so that the advantages of small size, high reliability and strong anti-interference ability are achieved.

Description

technical field [0001] The invention relates to a multi-channel synchronous real-time signal acquisition system, in particular to a distributed multi-channel signal acquisition system used for human lower limb movement intention recognition. Background technique [0002] The human motion intention recognition system is a key technology and difficulty in the field of robotics. It mainly involves signal processing technologies such as motion signal acquisition, real-time data communication, and pattern recognition. It can be used in bionic robots, medical rehabilitation, and other fields. [0003] There are three major technical problems in the human motion intention recognition system: motion signal acquisition, real-time communication and pattern recognition. Motion signal acquisition is the "basis" of the entire system, and its working performance directly affects the accuracy of the entire motion intention recognition system. At present, human motion intention recognition...

AI Technical Summary

Problems solved by technology

The body surface electromyography signal acquisition system has the advantages of short delay and strong real-time performance, but it also has the disadvantage that the electrodes are easy to fall off; the EEG signal acquisition system can realize "mind control", which is applicable to a wide range of people, but it is less resistant to interference. Poor, expensive equipment and other disadvantages; the contact force signal acquisition system has the advantages of easy wearing and simple structure, but also has the disadvantages of slow response and poor real-time performance

At present, human lower limb motion intention recognition systems generally have shortcomings such as large volume of measuring equipment, complex structure, and cumbersome operation. technical performance requirements

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