Advances in self-powered sports monitoring sensors based on triboelectric nanogenerators

Sun, Fengxin; Zhu, Yongsheng; Jia, Changjun; Zhao, Tianming; Chu, Liang; Mao, Yupeng

doi:10.1016/j.jechem.2022.12.024

Cited by 43 publications

(21 citation statements)

References 145 publications

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“…8(c) and provides a roadmap for future research in this area. 182 5.1.2 Physiotherapy. In physical therapy, textile-based strain sensors can be used to track the progress of patients undergoing rehabilitation programs.…”

Section: Discussion Of Human Motion Monitoringmentioning

confidence: 99%

The technology of wearable flexible textile-based strain sensors for monitoring multiple human motions: construction, patterning and performance

Liza,

Kabir,

Jiang

et al. 2023

Sens. Diagn.

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Section: Discussion Of Human Motion Monitoringmentioning

confidence: 99%

The technology of wearable flexible textile-based strain sensors for monitoring multiple human motions: construction, patterning and performance

Liza,

Kabir,

Jiang

et al. 2023

Sens. Diagn.

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“…Currently, flexible sensors can be classified according to various sensing principles as capacitive, − resistive, − triboelectric, − and piezoelectric. − Among them, because of their advantages of low noise, low power consumption, and high accuracy, capacitive flexible sensors have been the key subjects of wearable sensing systems. Capacitive flexible pressure sensors can respond to changing external forces by changing the capacitance.…”

Section: Introductionmentioning

confidence: 99%

Bamboo-Inspired, Environmental Friendly PDMS/Plant Fiber Composites-Based Capacitive Flexible Pressure Sensors by Origami for Human–Machine Interaction

Guo,

Li,

Hong

et al. 2024

ACS Sustainable Chem. Eng.

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With the widespread adoption of green and sustainable development concepts, enhancing the sensing performance of flexible pressure sensors while reducing manufacturing costs and environmental pollution has emerged as a pressing research issue. Drawing inspiration from bamboo, a naturally occurring green plant, we utilized virgin bamboo pulp as the raw material for producing draw paper. The resulting bamboo cylinder structure serves as the dielectric layer. We propose an extremely low-cost, user-friendly, and sustainable origami method for fabricating paperbased sensors. The structural parameters of the sensor were thoroughly investigated and optimized through finite element simulations and practical experiments. Notable features of the sensor include high sensitivity (1.96 kPa −1 within 0−50 kPa), a low detection limit (2 Pa), a wide pressure detection range (0−500 kPa), rapid response and recovery times (40 and 45 ms, respectively), and reliable durability and stability (∼5000 cycles). Experimental results demonstrate the successful application of these sensors in areas such as human motion, health monitoring, and human−computer interaction. The potential applications of sensors extend to flexible wearables, smart healthcare, human−machine collaboration, and electronic skin (e-skin).

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“…[21,22] Moreover, TENGs are cost-effective, highly efficient, lightweight, and environmentally friendly, with a simple structure and wide availability. [23] During harvesting low-frequency mechanical energy, TENGs demonstrate great potential for widespread applications in motion monitoring, [24][25][26][27] environmental sensing, [28,29] hydrological monitoring, [30,31] healthcare, [32,33] smart homes, [34,35] and energy harvesting. [36,37] The adaptability and flexibility of TENGs enable them to harness renewable energy resources in the environment, including wind, [38,39] hydro, [40,41] and kinetic energy.…”

Section: Introductionmentioning

confidence: 99%

Deep‐Learning‐Assisted Neck Motion Monitoring System Self‐Powered Through Biodegradable Triboelectric Sensors

Sun,

Zhu,

Jia

et al. 2023

Adv Funct Materials

Self Cite

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In the new era of artificial intelligence (AI) and the Internet of Things (IoT), big data collection and analysis for intelligent sports are of great importance in monitoring human health. Herein, naturally, biodegradable triboelectric nanogenerators (NB‐TENGs) are developed based on low‐cost, recyclable, and environmentally friendly corn bracts, which are further applied in neck motion recognition. Three NB‐TENGs are integrated into an elastic collar to create a neck‐condition monitoring triboelectric sensor (NCM‐TS). An intelligent behavioral monitoring system is achieved by combining NCM‐TS with a deep learning model, which allows the recognition of four types of neck motion with an average accuracy of 94%. The developed neck motion monitoring sensor has broad potential applications in sports health monitoring, rehabilitation training, and healthcare.

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Advances in self-powered sports monitoring sensors based on triboelectric nanogenerators

Cited by 43 publications

References 145 publications

The technology of wearable flexible textile-based strain sensors for monitoring multiple human motions: construction, patterning and performance

The technology of wearable flexible textile-based strain sensors for monitoring multiple human motions: construction, patterning and performance

Bamboo-Inspired, Environmental Friendly PDMS/Plant Fiber Composites-Based Capacitive Flexible Pressure Sensors by Origami for Human–Machine Interaction

Deep‐Learning‐Assisted Neck Motion Monitoring System Self‐Powered Through Biodegradable Triboelectric Sensors

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