Human gesture detection system based on MEMS inertial sensor and detection method for same

Abstract

The invention discloses a human gesture detection system based on an MEMS inertial sensor and a detection method for the same. The system comprises a computer, data collection and processing modules, and a gesture information reception and transmission module. The system comprises the 18 data collection and processing modules which are disposed on 18 joints of a human body to constitute a human gesture detection data collection network with 18 nodes, and the inertial sensor collects gesture data of each human body part; an internal microprocessor processes the collected gesture data, and gesture information can be obtained after calculation with a gesture calculation algorithm; and the data collection and processing modules and the gesture information reception and transmission module conduct information transmission via a wireless radio frequency unit, so the gesture information is received and then transmitted to the computer via an RS232 serial port according to a communication protocol. According to the invention, power consumption is low; accuracy is high; responses are made quickly; timeliness and stability are high; data collection nodes are distributed densely; and human body gestures can be captured accurately in real time.

Description

technical field [0001] The invention belongs to the field of attitude detection, in particular to a MEMS inertial sensor-based human body attitude detection system and a detection method thereof. Background technique [0002] With the continuous development of attitude detection technology and the continuous expansion of the field, human body attitude detection technology is more and more widely used in medical, civil aviation, entertainment, sports and other fields, and the requirements for the accuracy and stability of attitude detection are also correspondingly Higher and higher. In human posture detection, MEMS inertial sensors play a pivotal role. [0003] The full name of MEMS is micro-electromechanical system. MEMS devices have the characteristics of small size, light weight, low energy consumption, short response time, low price, high reliability and stability. MEMS is a revolutionary new technology, widely used in high-tech industries, and a key technology related...

AI Technical Summary

Problems solved by technology

[0004] At present, two kinds of MEMS inertial sensors, accelerometer and gyroscope, are used for human body attitude detection at home and abroad to collect attitude data, resulting in low integration of data acquisition and processing modules, high cost, and large volume, which is not convenient to place on the human body for attitude Data collection, and the accelerometer and gyroscope can only collect two kinds of attitude data: acceleration and angular velocity. The attitude information obtained by calculating only based on these two attitude data has low accuracy and poor stability.

Most of the single-chip microcomputers used have high power consumption, and the requirements for power supply are correspondingly increased, resulting in weak battery life of the system

In the existing human posture detection system, there are generally few data acquisition nodes, which cannot accurately collect the posture data information of the whole body of the human body, resulting in inaccurate and poor stability of the captured human posture.

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