Abstract
With the rapid development of the Internet of Things (IoTs), big data analytics has been widely used in the sport field. In this paper, a light-weight, self-powered sensor based on a triboelectric nanogenerator for big data analytics in sports has been demonstrated. The weight of each sensing unit is ~0.4 g. The friction material consists of polyaniline (PANI) and polytetrafluoroethylene (PTFE). Based on the triboelectric nanogenerator (TENG), the device can convert small amounts of mechanical energy into the electrical signal, which contains information about the hitting position and hitting velocity of table tennis balls. By collecting data from daily table tennis training in real time, the personalized training program can be adjusted. A practical application has been exhibited for collecting table tennis information in real time and, according to these data, coaches can develop personalized training for an amateur to enhance the ability of hand control, which can improve their table tennis skills. This work opens up a new direction in intelligent athletic facilities and big data analytics.
Highlights
The Internet of Things (IoT) is a huge network integrated with sensors in order to interface with our daily lives through data exchanging [1–12]
In recent years, much attention has been attracted to the capturing of physiological indexes by sensors in big data analytics in the field of sports [13–19]
This work opens up a new direction in intelligent athletic facilities and big data analytics
Summary
The Internet of Things (IoT) is a huge network integrated with sensors in order to interface with our daily lives through data exchanging [1–12]. In recent years, much attention has been attracted to the capturing of physiological indexes by sensors in big data analytics in the field of sports [13–19]. This modern science and technology contributes to improve the performance of athletes [20–28]. A collection of big data relies on various sensors and normally needs an external power supply. Realizing the rapid expansion of the IoT, it is important to design a novel sensor which does not need a power source. Triboelectric nanogenerators (TENGs) have been regarded as a generation energy harvesting system [29–40]. Based on the coupling effects of triboelectrification and electrostatic induction, TENGs can effectively convert mechanical energy to electricity
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