Yuhui Zhao

Yuhui Zhao

A maker, an engineer and a first year PhD student trying to figure out his place in the world. My research interests include mobile and ubiquitous computing, self sustainable sensing and computing, accessibility technologies, and brain-computer interface. My advisor is Dr.Thad Starner, and I also work with Dr. Gregory Abowd

OptoSense: Towards Ubiquitous Self-Powered Ambient Light Sensing Surfaces

Published in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2010

Ubiquitous computing requires robust and sustainable sensing techniques to detect users for explicit and implicit inputs. Existing solutions with cameras can be privacy-invasive. Battery-powered sensors require user maintenance, preventing practical ubiquitous sensor deployment. We present OptoSense, a general-purpose self-powered sensing system which senses ambient light at the surface level of everyday objects as a high-fidelity signal to infer user activities and interactions. To situate the novelty of OptoSense among prior work and highlight the generalizability of the approach, we propose a design framework of ambient light sensing surfaces, enabling implicit activity sensing and explicit interactions in a wide range of use cases with varying sensing dimensions (0D, 1D, 2D), fields of view (wide, narrow), and perspectives (egocentric, allocentric). OptoSense supports this framework through example

Authors: Dingtian Zhang, Jung Wook Park, Yang Zhang, Yuhui Zhao, Yiyang Wang, Yunzhi Li, Tanvi Bhagwat, Wen-Fang Chou, Xiaojia Jia, Bernard Kippelen, Canek Fuentes-Hernandez, Thad Starner, Gregory D Abowd

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Recommended citation: Your Name, You. (2010). “Paper Title Number 2.” Journal 1. 1(2).