Triboelectric signal outputs across different users and locomotion states

Description

(1) Activity recognition — distinguishing eight types of movement states based on motion-related signal patterns; (2) User identification — distinguishing six individuals based on the unique gait biometric features embedded in the triboelectric output. These two tasks are seamlessly integrated into the same self-powered sensing platform, eliminating the need for additional dedicated sensors or external power sources.

Institutions

• Southwest Jiaotong University

  Sichuan, Chengdu

Categories

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