Results 251 to 260 of about 118,196 (306)

Quantifying Upper Limb Movement During Naturalistic Driving: A Clinically Informed Ecological Approach. [PDF]

Sensors (Basel)
Rankin CR, Mann DL, Soleimanloo SS, Rossa KR, Sullivan KA, Salmon PM, Pattinson CL, Smith SS.   +7 more
europepmc   +1 more source

"Magnetic sand": Illusions of interactivity. [PDF]

J Vis
Shimojo S, Zheng S, Shimojo K, Shimojo E, Wu DA.   +4 more
europepmc   +1 more source

Multimodal human motion capture and synthesis

, 2014
Gowing, Marc, Monaghan, David, O'Connor, Noel E.   +2 more
openaire   +1 more source

Compression of Human Motion Capture Data Using Motion Pattern Indexing

Computer Graphics Forum, 2009
AbstractIn this work, a novel scheme is proposed to compress human motion capture data based on hierarchical structure construction and motion pattern indexing. For a given sequence of 3D motion capture data of human body, the 3D markers are first organized into a hierarchy where each node corresponds to a meaningful part of the human body.
Jingliang Peng, Zhigang Deng
exaly   +3 more sources

Human Motion Capture Driven by Orientation Measurements

Presence: Teleoperators and Virtual Environments, 1999
Motion-capture techniques are rarely based on orientation measurements for two main reasons: (1) optical motion-capture systems are designed for tracking object position rather than their orientation (which can be deduced from several trackers), (2) known animation techniques, like inverse kinematics or geometric algorithms, require position targets ...
Molet, Tom, Boulic, Ronan, Thalmann, Daniel   +2 more
core   +4 more sources

Egocentric human motion capture [PDF]

The human motion capture (mocap) technology has wide applications, especially in entertainment, sports analysis, and human-computer interactions. Among the motion capture techniques, egocentric motion capture provides a unique perspective from the individual's point of view. Being able to capture human motion in an unconstrained environment, egocentric
Wang, Jian, Wang, J.
openaire   +3 more sources

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Video based human motion capture

1999 IEEE Third Workshop on Multimedia Signal Processing (Cat. No.99TH8451), 1999
Proposes a new approach to capture human motion in video. This approach does not aim at a given human motion mode, but instead analyzes large-scale motion from frame to frame in a complex variational background and sets up a 3D motion skeleton under perspective projection. This approach is composed of two steps.
Xiaoming Liu 0002, Yueting Zhuang, Yi Wu 0012, Yunhe Pan   +3 more
openaire   +1 more source