首页|Design of multi-parameter real-time acquisition system of human movement based on nanosensor
Design of multi-parameter real-time acquisition system of human movement based on nanosensor
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NSTL
Elsevier
Aiming at the problems of low accuracy of parameter collection in traditional systems, low comprehensiveness of collection results, and poor system robustness, a Nanosensors-based multi-parameter real-time collection system of human body motion is designed in this work. According to the overall frame structure of the parameter acquisition system, the system hardware design is realized by using Nanosensors and nodes, radiofrequency chip MC13201, and a multi-parameter acquisition circuit. Based on hardware design, the time synchronization algorithm based on virtual time stamp is used to realize the time synchronization among sub-nodes of the sensor, and the COPS algorithm is used to identify the bad parameters and control the parameter acquisition error, to realize the effective collection of multiple parameters of human motion. The experimental results show that the system has an 80% higher accuracy rate, 83% higher degree of comprehensiveness, better robustness, and higher practical application value.
NanosensorsHuman motion parametersAcquisition systemVirtual time stampCOPS algorithmPROTOCOLFILTER
NSTL
Elsevier
