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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 저널정보
- 한국정보통신학회 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING 2018 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING Vo.10 No.1
- 발행연도
- 2018.6
- 수록면
- 242 - 245 (4page)
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초록· 키워드
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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.
목차
Abstract
Ⅰ. INTRODUCTION
Ⅱ. TAXPNOMY OF MOTION TECHNOLOGY
Ⅲ. MACHINE LEARNING APPROACHES TO MOTION TECHNOLOGY
Ⅲ. CONCLUSION
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2018-004-003100480