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by Seula Hwang on 2017-04-28 14:38:15

Date : 2017.05.01(Mon) 04:00 P.M.

Locate : EB5. 533

Presenter : Seula Hwang

Title : Predicting Sensory Data and Extending Battery Life for Wearable Devices

Author : Songchun Fan, Qiuyun Llull, Benjamin C. Lee

Abstract

Telepath is a framework that supports communication-free offloading for wearable devices. With offline training, activity recognition tasks can be offloaded from the wearable to the user's phone, without transferring raw sensing data. The key observation is that when the user is carrying both devices, the sensing streams on the two devices are highly correlated. By exploiting the correlation, the phone can estimate the wearable's sensing data and emulate the watch. Our evaluations shows that with Telepath, the phone performs accurately on activity recognition tasks that are designed for smart watches, achieving on average 87% of the watch's accuracy while extending the watch's battery life by 2.1x.

Proceeding : 

HotMobile '17 Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications
Pages 43-48 

Article source: http://eslab.cnu.ac.kr/en/Mobile/97-Predicting-Sensory-Data-and-Extending-Battery-Life-for-Wearable-Devices.html

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