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- W4221116129 abstract "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." @default.
- W4221116129 created "2022-04-03" @default.
- W4221116129 creator A5032630937 @default.
- W4221116129 creator A5035282947 @default.
- W4221116129 date "2022-05-01" @default.
- W4221116129 modified "2023-10-16" @default.
- W4221116129 title "Design of multi-parameter real-time acquisition system of human movement based on nanosensor" @default.
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- W4221116129 doi "https://doi.org/10.1016/j.measurement.2022.111056" @default.
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