Flexible and durable wood-based triboelectric nanogenerators for self-powered sensing in athletic big data analytics

By Jianjun Luo, Ziming Wang, Liang Xu, A. Wang, K. Han, Tao Jiang, Qingsong Lai, Yu Bai, Wei-Yao Tang, F. Fan and 1 more. Nature Communications, 2019

465 citations recorded by the source corpus.

In the new era of internet of things, big data collection and analysis based on widely distributed intelligent sensing technology is particularly important. Here, we report a flexible and durable wood-based triboelectric nanogenerator for self-powered sensing in athletic big data analytics. Based on a simple and effective strategy, natural wood can be converted into a high-performance triboelectric material with excellent mechanical properties, such as 7.5-fold enhancement in strength, superior flexibility, wear resistance and processability. The electrical output performance is also enhanced by more than 70% compared with natural wood. A self-powered falling point distribution statistical system and an edge ball judgement system are further developed to provide training guidance and real-time competition assistance for both athletes and referees. This work can not only expand the application area of the self-powered system to smart sport monitoring and assisting, but also promote the development of big data analytics in intelligent sports industry. Intelligent sensing technologies gain interest for the internet of things and applications that require collection and analysis of big data. Here the authors report a flexible and durable wood-based triboelectric nanogenerator for self-powered sensing in athletic big data analytics.

Subfields: Biomedical Engineering, Mechanical Engineering, Polymers and Plastics

View Paper: https://www.semanticscholar.org/paper/9810bcaf5ac1792e6a2738a86f85ce270d448040

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Chengkuo Lee
2. Xinge Guo
3. Long Liu
4. Tianyiyi He
5. Qiongfeng Shi
6. Feng Wen
7. Zhong Lin Wang
8. Jianjun Luo

In Mechanical Engineering

1. Long Liu
2. Xinge Guo
3. Chengkuo Lee
4. Jianjun Luo
5. Qiongfeng Shi
6. Jie Wang
7. Zhou Li
8. Zhong Lin Wang

In Polymers and Plastics

1. Chengkuo Lee
2. Long Liu
3. Xinge Guo
4. Tianyiyi He
5. Qiongfeng Shi
6. Jianjun Luo
7. Zhou Li
8. Zhong Lin Wang

Citations in the corpus

• Triboelectric nanogenerator based on degradable materials (2020, methodology): “This device has been applied in self-powered sensing with athletic big data analytics (Figure 7B).(80) Sheng Chen et al used paper and cellulose paper as the triboelectric layer to fabricated TENG and achieved 196.”
• Active resonance triboelectric nanogenerator for harvesting omnidirectional water-wave energy (2021, background): “Based on the merits of low price,(4) low weight(5,6) and high efficiency in low frequency,(3,7) triboelectric nanogenerator (TENG) has been developed as self-powered sensor, micro/nano energy, and high-voltage source.(16) Meanwhile, TENG has been considered as one of themost effective technologies f”
• Recent progress of triboelectric nanogenerators: From fundamental theory to practical applications (2020, methodology): “Intelligent sports: Reproduced with permission.(20) Copyright 2019, Nature Publishing Group.”
• Progress in TENG technology—A journey from energy harvesting to nanoenergy and nanosystem (2020, background): “Copyright 2019, Nature.88 F, Working mechanism using a combination of diode and switch in TENG for effectively harvesting human walking energy.”