2020
DOI: 10.1016/j.matlet.2020.128568
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A fully stretchable textile-based triboelectric nanogenerator for human motion monitoring

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Cited by 21 publications
(17 citation statements)
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“…When the two layers are separated due to removal of external IOP Publishing doi:10.1088/1757-899X/1225/1/012012 2 force, electric potential is induced between the electrodes [12]. Therefore, Triboelectric nanogenerators has emerged as new era energy harvesting and sensing devices in variety of applications such as self-powered electronics [13], wearable and implantable devices [14], self-powered biosensors [15], human motion monitoring [16], location evaluation [17], environmental monitoring [18] etc. This paper deals with design and simulation of triboelectric nanogenerators.…”
Section: Introductionmentioning
confidence: 99%
“…When the two layers are separated due to removal of external IOP Publishing doi:10.1088/1757-899X/1225/1/012012 2 force, electric potential is induced between the electrodes [12]. Therefore, Triboelectric nanogenerators has emerged as new era energy harvesting and sensing devices in variety of applications such as self-powered electronics [13], wearable and implantable devices [14], self-powered biosensors [15], human motion monitoring [16], location evaluation [17], environmental monitoring [18] etc. This paper deals with design and simulation of triboelectric nanogenerators.…”
Section: Introductionmentioning
confidence: 99%
“…A human-machine interface (HMI) system has been applied vastly in life with the advancement of artificial intelligence. Different types of HMI systems based on nanogenerators have been developed such as the electronic skin (e-skin), 14,27,30,34,36,38,85,165,170,[190][191][192][193][194] smart keyboards, [195][196][197][198][199][200][201][202] voice control devices, [203][204][205] body motion sensors, 14,112,164,167,[206][207][208][209][210][211][212][213][214][215][216] and robotic control. 31,217 7.1.1.…”
Section: Human-machine Interface Systemsmentioning
confidence: 99%
“…The movements of the body play a vital role in understanding the behavioural pattern and physiological conditions of human beings [1]. Wearable human motion monitoring is significant in a wide spectrum of healthcare applications [2], such as gesture recognition [3], posture correction [4], tactile and electronic skin [5], gait recognition [6], sleep quality assessment [7], physical rehabilitation and assess disease progression for patients suffering from 'Parkinson's [8], paralysis [9], multiple sclerosis [10], Huntington's disease [11], certain types of dementia [12]etc. The healthcare system has experienced a paradigm shift from standard clinical procedures to personalised assessment tools for automated health monitoring.…”
Section: Introductionmentioning
confidence: 99%