Triboelectric Wearable Sensors for Human-Centric Smart Electronics: From Self-Powered Sensing to Artificial Intelligence-Assisted Human–Machine Interface Systems

As intelligent electronics become increasingly integrated into daily life, health care, virtual interaction, and assistive systems, human-machine interfaces (HMIs) require sensing platforms that are not only wearable and self-powered but also capable of translating human signals into adaptive machine functions. Triboelectric wearable sensors are particularly attractive in this regard because they directly transduce human-generated mechanical stimuli, provide broad material and structural design freedom, and are readily adaptable to body-interfaced formats. In this review, wearability refers to body-mounted, skin-interfaced, textile-integrated, or otherwise human-attached triboelectric sensing platforms, whereas human-centric smart electronics refers to downstream electronic systems that remain functionally anchored to human-originated sensing, interpretation, feedback, or control. From this perspective, we review triboelectric wearable sensors from fundamentals to applications, covering working principles, material selection, device architectures, and fabrication strategies. We further discuss artificial intelligence-assisted signal processing, triboelectric artificial synapses, and neuromorphic computing as key bridges from self-powered sensing to intelligent HMI. Representative application spaces, including health care, gesture recognition, device control, immersive virtual interaction, wearable-to-robotic extensions, and intelligent transportation are discussed only when wearable triboelectric sensing serves as the primary human-input interface. Finally, the remaining challenges and future directions toward next-generation human-centric smart electronics are outlined.

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Publication Details

Journal
Nano-Micro Letters
Published
2026-06-16
DOI
https://doi.org/10.1007/s40820-026-02263-z
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

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article

Triboelectric Wearable Sensors for Human-Centric Smart Electronics: From Self-Powered Sensing to Artificial Intelligence-Assisted Human–Machine Interface Systems

Xinge Guo, Dongwhi Choi, Yoonsang Ra, Chengkuo Lee et al.
Nano-Micro Letters
Advanced Sensor and Energy Harvesting Materials
article

Triboelectric Wearable Sensors for Human-Centric Smart Electronics: From Self-Powered Sensing to Artificial Intelligence-Assisted Human–Machine Interface Systems

Xinge Guo, Dongwhi Choi, Yoonsang Ra, Chengkuo Lee, Sumin Cho
article en

Abstract

As intelligent electronics become increasingly integrated into daily life, health care, virtual interaction, and assistive systems, human-machine interfaces (HMIs) require sensing platforms that are not only wearable and self-powered but also capable of translating human signals into adaptive machine functions. Triboelectric wearable sensors are particularly attractive in this regard because they directly transduce human-generated mechanical stimuli, provide broad material and structural design freedom, and are readily adaptable to body-interfaced formats. In this review, wearability refers to body-mounted, skin-interfaced, textile-integrated, or otherwise human-attached triboelectric sensing platforms, whereas human-centric smart electronics refers to downstream electronic systems that remain functionally anchored to human-originated sensing, interpretation, feedback, or control. From this perspective, we review triboelectric wearable sensors from fundamentals to applications, covering working principles, material selection, device architectures, and fabrication strategies. We further discuss artificial intelligence-assisted signal processing, triboelectric artificial synapses, and neuromorphic computing as key bridges from self-powered sensing to intelligent HMI. Representative application spaces, including health care, gesture recognition, device control, immersive virtual interaction, wearable-to-robotic extensions, and intelligent transportation are discussed only when wearable triboelectric sensing serves as the primary human-input interface. Finally, the remaining challenges and future directions toward next-generation human-centric smart electronics are outlined.

Nano-Micro LettersVol. 18(1)
Chonnam National University (KR), University of California, Los Angeles (US), National University of Singapore (SG), Kyung Hee University (KR)
National Research Foundation, National University of Singapore, Kyung Hee University, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 12%
Advanced Sensor and Energy Harvesting Materials
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