Touchpower: Interaction-Based Power Transfer for Power-as-Needed Devices

2018年9月1日 · 0 分钟阅读时长
摘要
The trend toward ubiquitous deployment of electronic devices demands novel low maintenance power schemes to alleviate the burden of maintaining such a large number of devices. In our paper [14], we propose Interaction-based Power Transfer (IPT): a novel power scheme for power-as-needed devices (i.e., devices that only require power during interaction). IPT allows for the removal of built-in batteries on such devices, and enables them to instead be powered up through direct contact interaction with the user (e.g. gripping a mouse, holding a pen). We prove the concept and show the potential of IPT through our TouchPower prototype. TouchPower transfers on-body power to off-body power-as-needed devices through contact between electrodes on a glove worn by the user and those on the target device during the interaction. Evaluation results show that during interaction, TouchPower is able to provide stable power supply to these devices with only a small sacrifice with regard to interaction naturalness.
类型
出版物
GetMobile: Mobile Comp. and Comm.
publications
Yuntao Wang
Authors
Associate Professor (Research Track)
Yuntao Wang’s research centers on physiobehavioral computing and intelligent interaction for mobile and wearable systems. His work focuses on (1) developing robust, efficient sensing that performs reliably on mainstream devices, (2) extracting spatiotemporal patterns from multimodal signals to infer interaction intent by leveraging natural behavioral correlations, and (3) designing edge-efficient interfaces that deliver high performance on mobile and wearable platforms. He has published 90+ papers, received 10 international conference awards, and holds 30+ granted patents. His contributions have been recognized with honors including the Wu Wenjun AI Outstanding Youth Award (2024), the CAST Young Elite Scientists Sponsorship Program (2022), the Qinghai High-Level Innovation & Entrepreneurship Leading Talent (2024), and the First Prize of the China Electronics Institute Science & Technology Award (2019).