전자통신동향분석 (Electronics and Telecommunications Trends)

한국전자통신연구원 (Electronics and Telecommunications Research Institute)
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스마트폰 기반 행동인식 기술 동향

Trends in Activity Recognition Using Smartphone Sensors

  • 발행 : 2018.06.01
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초록

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.

키워드

과제정보

연구 과제번호 : 신체기능의 이상이나 저하를 극복하기 위한 휴먼 청각 및 근력 증강 원천기술 개발

연구 과제 주관 기관 : 정보통신기술진흥센터

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