A self-powered acceleration sensor with flexible materials based on triboelectric effect

Nano Energy ◽  
2017 ◽  
Vol 31 ◽  
pp. 469-477 ◽  
Author(s):  
Chenghao Xiang ◽  
Chaoran Liu ◽  
Chonglei Hao ◽  
Zuankai Wang ◽  
Lufeng Che ◽  
...  
Micromachines ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 337
Author(s):  
Navneet Soin ◽  
Sam J. Fishlock ◽  
Colin Kelsey ◽  
Suzanne Smith

The use of rapid point-of-care (PoC) diagnostics in conjunction with physiological signal monitoring has seen tremendous progress in their availability and uptake, particularly in low- and middle-income countries (LMICs). However, to truly overcome infrastructural and resource constraints, there is an urgent need for self-powered devices which can enable on-demand and/or continuous monitoring of patients. The past decade has seen the rapid rise of triboelectric nanogenerators (TENGs) as the choice for high-efficiency energy harvesting for developing self-powered systems as well as for use as sensors. This review provides an overview of the current state of the art of such wearable sensors and end-to-end solutions for physiological and biomarker monitoring. We further discuss the current constraints and bottlenecks of these devices and systems and provide an outlook on the development of TENG-enabled PoC/monitoring devices that could eventually meet criteria formulated specifically for use in LMICs.


Nano Energy ◽  
2021 ◽  
Vol 89 ◽  
pp. 106448
Author(s):  
Minchang Kim ◽  
Yoonsang Ra ◽  
Sumin Cho ◽  
Sunmin Jang ◽  
Dongik Kam ◽  
...  

2021 ◽  
Vol 68 (3) ◽  
pp. 2676-2683
Author(s):  
Bum-Joon Kim ◽  
Yongwoo Jang ◽  
Ji Hwan Moon ◽  
Ray H. Baughman ◽  
Seon Jeong Kim

Nano Energy ◽  
2018 ◽  
Vol 50 ◽  
pp. 632-638 ◽  
Author(s):  
Long Jin ◽  
Songyuan Ma ◽  
Weili Deng ◽  
Cheng Yan ◽  
Tao Yang ◽  
...  

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4996
Author(s):  
Yupeng Mao ◽  
Yongsheng Zhu ◽  
Tianming Zhao ◽  
Changjun Jia ◽  
Xiao Wang ◽  
...  

A self-powered portable triboelectric nanogenerator (TENG) is used to collect biomechanical energy and monitor the human motion, which is the new development trend in portable devices. We have developed a self-powered portable triboelectric nanogenerator, which is used in human motion energy collection and monitoring mobile gait and stability capability. The materials involved are common PTFE and aluminum foil, acting as a frictional layer, which can output electrical signals based on the triboelectric effect. Moreover, 3D printing technology is used to build the optimized structure of the nanogenerator, which has significantly improved its performance. TENG is conveniently integrated with commercial sport shoes, monitoring the gait and stability of multiple human motions, being strategically placed at the immediate point of motion during the respective process. The presented equipment uses a low-frequency stabilized voltage output system to provide power for the wearable miniature electronic device, while stabilizing the voltage output, in order to effectively prevent voltage overload. The interdisciplinary research has provided more application prospects for nanogenerators regarding self-powered module device integration.


2021 ◽  
Vol 31 (2) ◽  
pp. 35-42
Author(s):  

The purpose of this paper is to design a keyboard using the triboelectric effect (Tribo Electric Nano Generator - TENG) to collect a part of the energy from keystrokes to reduce the power consumption of the keyboard. Using elastic material as the cover on the keyboard to maximize the capture of energy from typing. The keyboard layers are made from common materials such as Al (Aluminum) and PTFE (Polytetrafluoroethylene). The built-in 16-button keyboard ensures the same typing speed as a typical keyboard. Based on selected triboelectric material, the output voltage of keyboard was simulated and processed by using a signal detection circuit. The results show that the average voltage generated by each key with electrical friction effect is about 4 V, the power consumption for the detection circuit is about 0.32 W. In addition, the keystroke signals were sent and displayed correctly on the designed software on the computer.


2020 ◽  
Vol 2 (10) ◽  
pp. 3072-3087
Author(s):  
Qianqian Miao ◽  
Chaoran Liu ◽  
Nan Zhang ◽  
Keyu Lu ◽  
Haojie Gu ◽  
...  

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