| 한글제목(Korean Title) |
Survey on Time-Series Human Motion Information Processing using Machine Learning Approach |
| 영문제목(English Title) |
Survey on Time-Series Human Motion Information Processing using Machine Learning Approach |
| 저자(Author) |
Taehee Kim
Cheulwoo Ro
Hoyung Lee
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| 원문수록처(Citation) |
VOL 10 NO. 01 PP. 0242 ~ 0245 (2018. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Humans have an ability to convey information using their body motions. Strong research activities in recognition and generation of body motions can be found in the machine learning research community. Recently, as deep learning solves many difficult problems, researchers apply deep learning approaches to human body motion information processing as well. We summarize and discuss human body motion information processing and generation that use machine learning approaches with a focus on deep learning. We find it interesting that highly abstract human behavior using body motions could be tackled using deep learning approaches.
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| 키워드(Keyword) |
Deep Learning
Human body motion recognition and generation
Machine Learning
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| 파일첨부 |
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