2026-09-28 ラトガース大学
The smart shoe’s electronics and plastic power-generating device are displayed on top of the shoe. During use, these components are housed beneath the sole, where energy from footsteps powers the technology that analyzes movement.
Veronica Mendez/School of Engineering
＜関連情報＞
- https://www.rutgers.edu/news/engineers-develop-smart-shoe-could-help-track-changes-how-people-walk
- https://www.science.org/doi/10.1126/sciadv.aeh9625
生体模倣型、超低消費電力、エッジAI搭載、自己持続型歩行分析システム A biomimetic, ultralow-power edge-AI-empowered and self-sustaining gait analysis system
Fuying Dong, Chi Han, Pengchong Xu Jasleen Chhatwal , […] , and Simiao Niu
Science Advances Published:19 Aug 2026
DOI:https://doi.org/10.1126/sciadv.aeh9625
Abstract
Smart digital health has reshaped patient monitoring, but it faces a fundamental trade-off between device intelligence and continuous, energy-efficient monitoring. Inspired by self-sustaining intelligent biospecies, we develop a biomimetic, battery-free, and high-precision edge-AI system through a harvested-energy-constrained holistic co-design that couples ultralow-power edge-AI-empowered sensor hardware with biomechanical energy harvesting and cold-start power management. Our edge-AI-empowered motion sensor performs instantaneous, context-aware on-device inference and timely result updating from raw sensor data while consuming only 86 μW. A high-output energy harvester and tailored high-efficiency power management circuitry sustain energy levels exceeding system requirements, eliminating downtime associated with charging and enabling true 24/7, hassle-free monitoring. This breakthrough establishes a paradigm for system-level, edge-AI-empowered, and self-sustaining sensing, demonstrating that intelligence and energy autonomy can coexist within a single wearable platform and pointing to next-generation always-on, personalized digital health systems.
