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Real-Time Motion Feedback System based on Smart Mirror Vision
- Authors
- Kim, Seoungtak; Seo, Dasol; Lee, Sangyong; Kim, Yeonjun; Kang, Hyun Wook; Choi, Yong-Sik; Jung, Jin-Woo
- Issue Date
- 5-Dec-2020
- Publisher
- IEEE
- Keywords
- Raspberry Pi; Deep Learning; Smart Mirror
- Citation
- 2020 JOINT 11TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS AND 21ST INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (SCIS-ISIS), pp 288 - 291
- Pages
- 4
- Indexed
- SCOPUS
- Journal Title
- 2020 JOINT 11TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS AND 21ST INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (SCIS-ISIS)
- Start Page
- 288
- End Page
- 291
- ISSN
- 2377-6870
- Abstract
- Modern people do not have much time to take care of their health due to heavy workloads. Therefore, we propose a smart mirror system, through which people can take exercises at home and get corrections for their movements. The users' motions are sent to the server using Raspberry Pi. Once the server receives the video, it sends the correct movements back to the user. Upon receiving the correct movements, the feedback, which is provided from the Guide video, the user can compare their movements to it. The users can correct their motions by following the correct motions provided from the Guide video. The incorrect motion is determined by the gap of the angle of the user's joints from the Guide video. This proposed Smart mirror system is assumed to contribute to people's health due to its ease of use and greater accessibility.
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Related Researcher
- Jung, Jin Woo
- College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)