Abstract

A novel self-powered wearable motion sensor for monitoring the spiking gesture of volleyball athletes has been manufactured from piezoelectric PVDF film. The PVDF film can convert body mechanical energy into electricity through the piezoelectric effect, and the flexible device can be conformably attached on the hand or arm. The sensor can work independently without power supply and actively output piezoelectric signals as the sports information. The sensor can detect the tiny and fine motion of spiking movement in playing volleyball, reflecting the skill. Additionally, the sensor can also real-time monitor the pulse changes and language during a volleyball match. The self-powered sensors can link to a wireless transmitter for uploading the sports information and building big sports data. This work can provoke a new direction for real-time sports monitoring and promote the development of big sports data.

Highlights

  • In recent decades, volleyball has been very popular due to its competitive and technical features and has attracted much attention at the Olympic Games

  • High-speed cameras manifest susceptibility to environmental factors, such as light and the movement of multiple athletes, which can distort the results captured by the camera [6]

  • The images acquired by high-speed cameras require a large amount of storage, and the image analysis demands a huge amount of calculation

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Summary

Introduction

Volleyball has been very popular due to its competitive and technical features and has attracted much attention at the Olympic Games. Self-powered flexible biosensing devices have been used in real-time monitoring various physiological indicators like blood glucose, body temperature, heart rate and pulse in daily life [16,17,18,19,20,21,22,23,24,25]. These self-powered flexible sensors that possess the ability to work without external power could be probably used in the domain of sports motion monitoring [26,27,28,29,30,31,32,33]. This research has great potential in realizing efficient volleyball training and big sports data

Device Fabrication
Characterization and Measurement
Results and Discussion
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