Portable gait multi-sensor data acquisition system

Abstract

The invention discloses a portable gait multi-sensor data acquisition system. The system comprises a sensor module, a signal preprocessing module, a wireless transmission module and an Android upper computer module, wherein the sensor module comprises a surface myoelectricity sensor, a plantar pressure sensor and a motion posture sensor. The system can carry out real-time wireless acquisition andpreprocessing on surface myoelectricity signals, Euler angles, angular velocities, accelerations and plantar pressure signals of two channels of lower limbs at the same time, received signal data arecalculated and processed by the Android upper computer module, and the data of the signals are displayed in real time. Signals are transmitted based on Bluetooth, the constraint of wires is eliminated, and gait measurement is more convenient. Wireless data receiving and data processing are carried out based on an Android mobile phone, so that the portability and the practicability of the system are greatly improved. Software development based on Android is more flexible, and rapid development and iteration according to functions and requirements can be achieved.

Description

technical field [0001] The invention relates to the field of gait recognition, in particular to a portable gait multi-sensing data acquisition system. Background technique [0002] The lower extremity exoskeleton can help people walk and achieve the purpose of strengthening or assisting. It is very important to be able to recognize the gait information of the lower limbs to control the exoskeleton. The walking of the human body is a complex process, and the comprehensive analysis of various signals is required to accurately identify the gait. [0003] Surface electromyography (SEMG) is an electrical signal generated with myoelectric contraction, which can be collected on the surface of the skin through electrodes. By processing and calculating the surface EMG signals of the lower limbs, the movement patterns controlled by the corresponding muscles can be decoded. [0004] The motion attitude sensor can measure Euler angle, angular velocity and acceleration, and these sign...

AI Technical Summary

Problems solved by technology

[0005] The professional surface electromyography signal, motion posture sensing and pressure measurement modules on the market are expensive, and most of them can only measure one signal, and most of them are based on windows system, which can be used for signal analysis and research, but in actual use The non-portability and non-flexible development environment of the computer make it very limited in use

Images