Driving low-power wearable systems with an adaptively-controlled foot-strike scavenging platform

V. Goudar, Zhi Ren, P. Brochu, M. Potkonjak, Q. Pei
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引用次数: 4

Abstract

We explore the use of Dielectric Elastomer (DE) micro-generators as a means to scavenge energy from foot-strikes and power wearable systems. While they exhibit large energy densities, DEs must be closely controlled to maximize the energy they transduce. Towards this end, we propose a DE micro-generator array configuration that enhances transduction efficiency, and the use of foot pressure sensors to realize accurate control of the individual DEs. Statistical techniques are applied to customize performance for a user's gait and enable energy-optimized adaptive online control of the system. Simulations based on experimentally collected foot pressure datasets, empirical characterization of DE mechanical behavior and a detailed model of DE electrical behavior show that the proposed system can achieve between 45 and 66mJ per stride.
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驱动低功耗可穿戴系统与自适应控制的脚击清除平台
我们探索使用介电弹性体(DE)微型发电机作为一种手段,从脚撞击和电力可穿戴系统中清除能量。虽然它们表现出很大的能量密度,但必须严格控制它们,以使它们转导的能量最大化。为此,我们提出了一种DE微型发电机阵列配置,以提高转导效率,并使用足压传感器实现对单个DE的精确控制。应用统计技术根据用户的步态定制性能,并实现系统的能量优化自适应在线控制。基于实验收集的足压力数据集、DE力学行为的经验表征和DE电气行为的详细模型的仿真表明,所提出的系统每步可以达到45到66mJ。
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The Semantic Web: 19th International Conference, ESWC 2022, Hersonissos, Crete, Greece, May 29 – June 2, 2022, Proceedings Correction to: A Semantic Framework to Support AI System Accountability and Audit The Semantic Web: 18th International Conference, ESWC 2021, Virtual Event, June 6–10, 2021, Proceedings QAnswer KG: Designing a Portable Question Answering System over RDF Data Incremental Multi-source Entity Resolution for Knowledge Graph Completion
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