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Energy-Efficient Real-Time Human Activity Recognition on Smart Mobile Devices

Title
Energy-Efficient Real-Time Human Activity Recognition on Smart Mobile Devices
Author
김정선
Keywords
CARE; FALL DETECTION SYSTEM; PHYSICAL-ACTIVITY; TRIAXIAL ACCELEROMETER; CONTEXT
Issue Date
2016-08
Publisher
HINDAWI PUBLISHING CORP
Citation
MOBILE INFORMATION SYSTEMS, V. 2016, Article ID 2316757
Abstract
Nowadays, human activity recognition (HAR) plays an important role inwellness-care and context-aware systems. Human activities can be recognized in real-time by using sensory data collected from various sensors built in smart mobile devices. Recent studies have focused on HAR that is solely based on triaxial accelerometers, which is the most energy-efficient approach. However, such HAR approaches are still energy-inefficient because the accelerometer is required to run without stopping so that the physical activity of a user can be recognized in real-time. In this paper, we propose a novel approach for HAR process that controls the activity recognition duration for energy-efficient HAR. We investigated the impact of varying the acceleration-sampling frequency and window size for HAR by using the variable activity recognition duration (VARD) strategy. We implemented our approach by using an Android platform and evaluated its performance in terms of energy efficiency and accuracy. The experimental results showed that our approach reduced energy consumption by a minimum of about 44.23% andmaximum of about 78.85% compared to conventional HAR without sacrificing accuracy.
URI
https://www.hindawi.com/journals/misy/2016/2316757/abs/http://repository.hanyang.ac.kr/handle/20.500.11754/70337
ISSN
1574-017X
DOI
10.1155/2016/2316757
Appears in Collections:
COLLEGE OF COMPUTING[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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