BROWSE
Detail
Journal Article
스마트폰 기반 행동 인식 기술 동향
- Issue Date
- 2018-06
- Citation
- 전자통신동향분석, v.33, no.3, pp.89-99
- ISSN
- 1225-6455
- Publisher
- 한국전자통신연구원 (ETRI)
- Language
- Korean
- Type
- Journal Article
- 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: : Type 1 + Commercial Use Prohibition+Change Prohibition)
