2019
DOI: 10.1016/j.nanoen.2018.11.078
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Self-powered gait pattern-based identity recognition by a soft and stretchable triboelectric band

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Cited by 103 publications
(75 citation statements)
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“…The motion of the muscle or body has relatively large displacement, and thereby is relatively easy for TENGs to detect. The TENG‐based self‐powered muscle/body motion sensors can not only detect the qualitative but also detect the quantitative information of the motion . Yi et al reported a stretchable‐rubber‐based TENG that works based on the in‐plane charge contact/separation induced by the shape change of the rubber ( Figure a–c) .…”
Section: Nontextile Tengs As Self‐powered Health Monitorsmentioning
confidence: 99%
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“…The motion of the muscle or body has relatively large displacement, and thereby is relatively easy for TENGs to detect. The TENG‐based self‐powered muscle/body motion sensors can not only detect the qualitative but also detect the quantitative information of the motion . Yi et al reported a stretchable‐rubber‐based TENG that works based on the in‐plane charge contact/separation induced by the shape change of the rubber ( Figure a–c) .…”
Section: Nontextile Tengs As Self‐powered Health Monitorsmentioning
confidence: 99%
“…Gait monitoring is critical for clinical biomotion analysis, which can offer useful information for various health‐related applications like preventing falls. Han et al reported a TENG‐based self‐powered band that is capable of detecting gait and recognize identity through gait monitoring ( Figure a–c) . The TENG band is composed of a triboelectric rubber wrapper and physiological saline as the electrode.…”
Section: Nontextile Tengs As Self‐powered Health Monitorsmentioning
confidence: 99%
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“…Third, technology fusion of wearable systems and AI is reviewed, showing the emergence and rapid development of intelligent/smart systems. In the end, perspectives about the development trends of the next‐generation wearable electronics/photonics are provided, that is, innovating toward multifunctional, self‐sustainable, and intelligent wearable systems in the AI/IoT era 56‐61 …”
Section: Introductionmentioning
confidence: 99%