Data-driven motion capture using a single smartphone = 스마트폰을 이용한 데이터 기반 모션 캡쳐

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Generating visually appealing human motion sequences using low-dimensional control signals are one big strand of motion research area in computer graphics. We propose a novel approach to reconstruct full body motion controlled by one smartphone. Smartphone is one of the most public devices and includes several inertial sensors such as accelerometer or gyroscope sensor. For correct mapping between full body pose and smartphone sensor, we optimize motion data to low-dimensional coordinate through Gaussian Process Latent Variable Model. Also, our system considers temporal variation by state decomposition model that automatically segments motion phase and connects between latent space and sensor data using nonlinear regression algorithm. Our combined framework allows for reconstructing plausible motion sequences, and we compare the generated animation to ground truth data from commercial motion capture system.
Advisors
Noh, Junyongresearcher노준용researcher
Description
한국과학기술원 :문화기술대학원,
Publisher
한국과학기술원
Issue Date
2014
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 문화기술대학원, 2014.2 ,[iv, 24 p. :]

Keywords

Motion Capture; Motion Reconstruction; Smartphone; 모션 캡쳐; 스마트폰; 모션 생성

URI
http://hdl.handle.net/10203/221348
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=657402&flag=dissertation
Appears in Collection
GCT-Theses_Master(석사논문)
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