TY - JOUR
T1 - Light-weight, self-powered sensor based on triboelectric nanogenerator for big data analytics in sports
AU - Ma, Xiaofei
AU - Liu, Xuan
AU - Li, Xinxing
AU - Ma, Yunfei
N1 - Funding Information:
Funding: This research was funded by Research and Practice Project of Teaching Reform for Higher Education Institutions in Hebei Province of China for Research and practice of table tennis project teaching in Colleges and Universities Based on "Outcome-based Education (OBE)" teaching concept, grant number 2018GJJG426.
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/10
Y1 - 2021/10
N2 - 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 triboe-lectric 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 polytetrafluoroeth-ylene (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.
AB - 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 triboe-lectric 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 polytetrafluoroeth-ylene (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.
KW - Big data analytics
KW - PANI
KW - PTFE
KW - TENG
UR - http://www.scopus.com/inward/record.url?scp=85115362282&partnerID=8YFLogxK
U2 - 10.3390/electronics10192322
DO - 10.3390/electronics10192322
M3 - Article
AN - SCOPUS:85115362282
SN - 2079-9292
VL - 10
JO - Electronics (Switzerland)
JF - Electronics (Switzerland)
IS - 19
M1 - 2322
ER -