Flexible wearable intelligent sensing system for wheelchair sports monitoring

Mao, Yupeng; Wen, Yuzhang; Liu, Bing; Sun, Fengxin; Zhu, Yongsheng; Wang, Junxiao; Zhang, Rui; Yu, Zuojun; Chu, Liang; Zhou, Aiguo

doi:10.1016/j.isci.2023.108126

Cited by 14 publications

(3 citation statements)

References 46 publications

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“…With the development of the Internet and the advent of the smart era, wearable electronic devices have become a focal point of research in various domains, including the Internet of Things, health monitoring, and sports monitoring. 1 , 2 , 3 , 4 , 5 These devices can either be implanted inside the human body or worn on the body’s surface, including smart bracelets, smart watches, smart clothing, etc. 6 , 7 , 8 , 9 They incorporate built-in sensors to capture the user’s physiological metrics and motion data, which are subsequently processed, analyzed and presented using various algorithms.…”

Section: Introductionmentioning

confidence: 99%

Machine learning-assisted novel recyclable flexible triboelectric nanogenerators for intelligent motion

Wen,

Sun,

Xie

et al. 2024

iScience

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Section: Introductionmentioning

confidence: 99%

Machine learning-assisted novel recyclable flexible triboelectric nanogenerators for intelligent motion

Wen,

Sun,

Xie

et al. 2024

iScience

Self Cite

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“… 25 For example, mechanical metamaterials that master sensing capabilities, 26 energy harvesting capabilities, 27 and wireless signal transmission capabilities. 28 , 29 As a new kind of energy harvesting and self-powered sensing device, 30 triboelectric nanogenerator (TENG) has been widely used in motion monitoring, 31 , 32 , 33 healthcare, 34 smart textile, 35 , 36 , 37 , 38 and environmental sensing, 39 showing good coupling property of mechanical metamaterials. 40 , 41 , 42 The combination of TENGs and mechanical metamaterials can help us design multi-functional stretchable headbands, but there is no such research in the smart glasses field.…”

Section: Introductionmentioning

confidence: 99%

Underwater smart glasses: A visual-tactile fusion hazard detection system

Ma,

Zhang,

Jiao

2024

iScience

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“…The energy harvesting method of the TENG is in line with the concept of green energy promoted today. At the same time, it can also be used as a self-powered supply unit of sensing devices, providing energy support for wireless distributed sensing and smart wear devices [28,29]. The TENG operates in four main modes: contact separation mode, lateral sliding mode, single-electrode mode, and freestanding triboelectric layer mode [30].…”

Section: Introductionmentioning

confidence: 99%

Research on the Sensing Characteristics of an Integrated Grid-like Sensor Based on a Triboelectric Nanogenerator

Zhao,

Han,

Deng

et al. 2024

Sensors

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With the development of the integration and miniaturization of sensing devices, the concept of self-sensing devices has been proposed. A motion state is self-sensed via the structure or integration of an actuator in the construction of a sensing unit. This device is then used to capture the perception and measurement of states such as position, displacement, and speed. A triboelectric nanogenerator converts mechanical energy into electrical energy through the coupling effect of contact generation and electrostatic induction, which represents one of the reliable ways through which to realize integrated sensing. In this world, the power generation technology of the TENG is applied to a sensing device. The sensing characteristics of a grid-like TENG are designed and analyzed in freestanding triboelectric mode. Firstly, a relation model of displacement, velocity, voltage, and charge is established. The charge-transfer increment and current amounts are linearly related to the velocity. The open-circuit voltage has a positive relationship with the displacement. The maximum open-circuit voltage and the maximum charge transfer are fixed values, and they are only related to the inherent parameters of a triboelectric nanogenerator. Next, the sensor model is constructed using COMSOL Multiphysics 6.0. The simulation results show that the relationships between output voltage and charge transfer, as well as those between the increments of charge transfer, velocity, and displacement, are consistent with the results derived from the formula. Finally, a performance test of the designed sensor is carried out, and the results are consistent with the theoretical deduction and simulation. After analysis and processing of the output electrical signal by the host computer, it can feedback the frequency and speed value of the measured object. In addition, the output signal is stable, and there is no large fluctuation or attenuation during the 521-s vibration test. Because the working unit of the sensor is thin filmed, it is small in size, easy to integrate, and has no external power supply; moreover, it can be integrated into a device to realize the self-sensing of a motion state.

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Flexible wearable intelligent sensing system for wheelchair sports monitoring

Cited by 14 publications

References 46 publications

Machine learning-assisted novel recyclable flexible triboelectric nanogenerators for intelligent motion

Machine learning-assisted novel recyclable flexible triboelectric nanogenerators for intelligent motion

Underwater smart glasses: A visual-tactile fusion hazard detection system

Research on the Sensing Characteristics of an Integrated Grid-like Sensor Based on a Triboelectric Nanogenerator

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