Using infrastructure-provided context filters for efficient fine-grained activity sensing

• Main Authors: SUBBARAJU, Vigneshwaran, SEN, Sougata, MISRA, Archan, CHAKRABORTY, Satyadip, BALAN, Rajesh Krishna
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Energy utilization; Gesture recognition; Potable water; Ubiquitous computing; Wearable technology; Artificial Intelligence and Robotics; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/2678; https://ink.library.smu.edu.sg/context/sis_research/article/3678/viewcontent/Infrastructure_ProvidedContextFilters_2015.pdf
• Institution: Singapore Management University

While mobile and wearable sensing can capture unique insights into fine-grained activities (such as gestures and limb-based actions) at an individual level, their energy overheads are still prohibitive enough to prevent them from being executed continuously. In this paper, we explore practical alter...