Research on self-driving sensor of human movement based on friction nanogenerator
Source abstract
Abstract
Aiming at the diversity of the Internet of Things and the complexity of the application environment, a self-driving micro-system solution for human motion based on the friction nano-generator (TFNG) is proposed. First analyse the three basic modules required to build a human motion self-driving micro system: the energy harvesting (EH) module of the friction nano-generator based on human motion, the active sensing module, and the high-efficiency energy storage module. Self-driving micro-systems suitable for different application scenarios can not only effectively solve the problem of long-term stable energy supply of massive sensor nodes, but also help the development of the Internet of Things technology in multiple dimensions and forms.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Tactile and Sensory Interactions · Advanced Sensor and Energy Harvesting Materials · Muscle activation and electromyography studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References
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