A Wireless Wearable Human Jump Analysis System

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic

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eISSN: 1178-5608

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VOLUME 7 , ISSUE 5 (December 2014) > List of articles

Special issue ICST 2014

A Wireless Wearable Human Jump Analysis System

Penghai Wang / Haiyang Quan / Lidong Lan

Keywords : MEMS; accelerometer; gyroscope; FIR filter; jumping parameters

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 5, Pages 1-5, DOI: https://doi.org/10.21307/ijssis-2019-108

License : (CC BY-NC-ND 4.0)

Published Online: 15-February-2020

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ABSTRACT

In most sports, the vertical jump is one of the most basic actions. Jumping force and explosive power are two specific indicators to reflect the ability of the muscles in one vertical jump. This paper presents a light-weight and easy-to-use wireless system to analyze the process of human vertical jumping up through the use of a Micro Electro Mechanical System (MEMS) accelerometer and a MEMS gyroscope. The system allows the users to be able to measure the jump parameters, including jumping force and explosive power of athletes’ lower limbs. Then the noise of the system has been analyzed briefly, and a finite impulse response (FIR) low pass filter is designed to eliminate the noise. The system has been compared with a commercial performance measuring system-Myotest, and a traditional force test platform-HUR. The results show that parameters can be collected precisely by it and there is a possibility to apply this system for other actions.

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REFERENCES

[1] L. Quagliarella, N. Sasanelli, G. Cavone, A.M.L. Lanzolla, “Biomedical Signal Analysis by a Low-cost Accelerometer Measurement System,” IEEE Instrumentation and Measurement Technology Conference, Sorrento, Italy, April 2006, pp. 2236-2239.

[2] Woojin Nam, Guang Yang, Seongsoo Lee, “Digital FIR filter design for bio-signal processing system,” Journal of Measurement Science and Instrumentation, 2013.1.

[3] Gu Weidong, Lu Xinyan, “Application of FIR Digital Filters in MEMS Accelerometers,” Micronanoelectronic Technology, Vol. 46, pp. 735-738. December 2009.

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