A Stretchable, Flexible Triboelectric Nanogenerator for Self-Powered Real-Time Motion Monitoring

2018 ◽  
Vol 3 (6) ◽  
pp. 1800021 ◽  
Author(s):  
Cunxin Lu ◽  
Jian Chen ◽  
Tao Jiang ◽  
Guangqin Gu ◽  
Wei Tang ◽  
...  
Keyword(s):  
Real Time ◽  
Triboelectric Nanogenerator ◽  
Time Motion ◽  
Self Powered

scholarly journals Light-Weight, Self-Powered Sensor Based on Triboelectric Nanogenerator for Big Data Analytics in Sports

Electronics ◽  
2021 ◽  
Vol 10 (19) ◽  
pp. 2322
Author(s):  
Xiaofei Ma ◽  
Xuan Liu ◽  
Xinxing Li ◽  
Yunfei Ma
Keyword(s):  
Big Data ◽  
Real Time ◽  
Data Analytics ◽  
Mechanical Energy ◽  
Rapid Development ◽  
Big Data Analytics ◽  
Triboelectric Nanogenerator ◽  
Light Weight ◽  
Table Tennis ◽  
Self Powered

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.

scholarly journals Self-powered Real-time Movement Monitoring Sensor Using Triboelectric Nanogenerator Technology

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Liangmin Jin ◽  
Juan Tao ◽  
Rongrong Bao ◽  
Li Sun ◽  
Caofeng Pan
Keyword(s):  
Real Time ◽  
Triboelectric Nanogenerator ◽  
Self Powered ◽  
Time Movement ◽  
Movement Monitoring

scholarly journals A Self-Powered Basketball Training Sensor Based on Triboelectric Nanogenerator

2021 ◽  
Vol 11 (8) ◽  
pp. 3506
Author(s):  
Zhenyu Zhao ◽  
Chuan Wu ◽  
Qing Zhou
Keyword(s):  
Real Time ◽  
Light Emitting Diode ◽  
High Reliability ◽  
Working Environment ◽  
Triboelectric Nanogenerator ◽  
Target Area ◽  
Maximum Output ◽  
Environment Temperature ◽  
Self Powered ◽  
Led Lights

During the basketball training for beginner children, sensors are needed to count the number of times the basketball hits the target area in a certain period of time to evaluate the training effect. This study proposes a self-powered basketball training sensor, based on a triboelectric nanogenerator. The designed sensor with a rectangular floor shape will output a pulse signal with the same frequency as the basketball impact to achieve the measurement function through the mutual contact of the internal copper (Cu) and polytetrafluoroethylene (PTFE). Test results show that the working frequency of the sensor is 0 to 5 Hz, the working environment temperature should be less than 75 °C, the working environment humidity should be less than 95%, and which has high reliability. Further tests show that the maximum output voltage, current, and power of the sensor can reach about 52 V, 4 uA, and 26.5 uW with a 10 MΩ resistance in series, respectively, and the output power can light up 12 light-emitting diode (LED) lights in real-time. Compared with the traditional statistical method of manual observation, the sensor can automatically count data in a self-powered manner, and also can light up the LED lights in real-time as an indicator of whether the basketball impacts the target area, to remind beginner children in real-time.

Free‐Fixed Rotational Triboelectric Nanogenerator for Self‐Powered Real‐Time Wheel Monitoring

2021 ◽  
Vol 6 (3) ◽  
pp. 2000918 ◽  
Author(s):  
Long Jin ◽  
Steven L. Zhang ◽  
Sixing Xu ◽  
Hengyu Guo ◽  
Weiqing Yang ◽  
...  
Keyword(s):  
Real Time ◽  
Triboelectric Nanogenerator ◽  
Self Powered

Wireless self-powered sensor networks driven by triboelectric nanogenerator for in-situ real time survey of environmental monitoring

Nano Energy ◽  
2018 ◽  
Vol 53 ◽  
pp. 501-507 ◽  
Author(s):  
Zhihao Zhou ◽  
Xiaoshi Li ◽  
Yufen Wu ◽  
Heng Zhang ◽  
Zhiwei Lin ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Environmental Monitoring ◽  
Real Time ◽  
Triboelectric Nanogenerator ◽  
Self Powered

scholarly journals A Self-Powered Vector Angle/Displacement Sensor Based on Triboelectric Nanogenerator

Micromachines ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 231
Author(s):  
Chengyu Li ◽  
Ziming Wang ◽  
Sheng Shu ◽  
Wei Tang
Keyword(s):  
Real Time ◽  
Coupling Effect ◽  
Displacement Sensor ◽  
Triboelectric Nanogenerator ◽  
Peak Voltage ◽  
Electrostatic Induction ◽  
Electrode Displacement ◽  
Vector Angle ◽  
Self Powered ◽  
Triboelectric Nanogenerators

Recently, grating-structured triboelectric nanogenerators (TENG) operating in freestanding mode have been the subject of intensive research. However, standard TENGs based on interdigital electrode structures are unable to realize real-time sensing of the direction of the freestanding electrode movement. Here, a newly designed TENG, consisting of one group of grating freestanding electrodes and three groups of interdigitated induction electrodes with the identical period, has been demonstrated as a self-powered vector angle/displacement sensor (SPVS), capable of distinguishing the real-time direction of the freestanding electrode displacement. Thanks to the unique coupling effect between triboelectrification and electrostatic induction, periodic alternating voltage signals are generated in response to the rotation/sliding movement of the top freestanding electrodes on the bottom electrodes. The output peak-to-peak voltage of the SPVS can reach as high as 300 V at the rotation rate of 48 rpm and at the sliding velocity of 0.1 m/s, respectively. The resolution of the sensor reaches 8°/5 mm and can be further enhanced by decreasing the width of the electrodes. This present work not only demonstrates a novel method for angle/displacement detection but also greatly expands the applicability of TENG as self-powered vector sensors.

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