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Journal Article 스마트폰 기반 행동 인식 기술 동향
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Authors
김무섭, 정치윤, 손종무, 임지연, 정승은, 정현태, 신형철
Issue Date
2018-06
Citation
전자통신동향분석, v.33, no.3, pp.89-99
ISSN
1225-6455
Publisher
한국전자통신연구원 (ETRI)
Language
Korean
Type
Journal Article
DOI
https://dx.doi.org/10.22648/ETRI.2018.J.330310
Abstract
Human activity recognition (HAR) is a technology that aims to offer an automatic recognition of what a person is doing with respect to their body motion and gestures. HAR is essential in many applications such as human-computer interaction, health care, rehabilitation engineering, video surveillance, and artificial intelligence. Smartphones are becoming the most popular platform for activity recognition owing to their convenience, portability, and ease of use. The noticeable change in smartphone-based activity recognition is the adoption of a deep learning algorithm leading to successful learning outcomes. In this article, we analyze the technology trend of activity recognition using smartphone sensors, challenging issues for future development, and a strategy change in terms of the generation of a activity recognition dataset.
KSP Keywords
Automatic recognition, Body Motion, Challenging issues, Ease of use, Future Development, Health care, Human activity recognition, Human computer interaction, Learning outcomes, Rehabilitation Engineering, Smartphone sensors
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
Type 4: