Mobile applications based on smart wearable devices

Xu, Weitao (2015). Mobile applications based on smart wearable devices. In: SenSys 2015: Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems. 13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015, Seoul, South Korea, (505-506). 1-4 November 2015. doi:10.1145/2809695.2822525


Author Xu, Weitao
Title of paper Mobile applications based on smart wearable devices
Conference name 13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015
Conference location Seoul, South Korea
Conference dates 1-4 November 2015
Convener Association for Computing Machinery
Proceedings title SenSys 2015: Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems
Journal name SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems
Place of Publication New York, United States
Publisher Association for Computing Machinery
Publication Year 2015
Sub-type Fully published paper
DOI 10.1145/2809695.2822525
Open Access Status Not Open Access
ISBN 9781450336314
Start page 505
End page 506
Total pages 2
Collection year 2016
Language eng
Abstract/Summary Ubiquity of wearable devices sparked a new set of mobile computing applications that leverage the prolific information of sensors. I will focus on two main research questions: face recognition on smart glass and gait recognition on smart watch. Face recognition is one of the most popular research problems on various platforms. New research issues arise when it comes to resource constrained devices, such as smart glasses, due to the overwhelming computation and energy requirements of the accurate face recognition methods. Biometric gait recognition refers to verifying or identifying persons by their walking style, and it provides a unobtrusive way to authenticate the user and unlock the smart watches.
Q-Index Code EX
Q-Index Status Provisional Code
Institutional Status UQ

 
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