Browsing by Keywords "Motion capture"
Now showing items 1-13 of 13
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Automated evaluation of physical therapy exercises using multi-template dynamic time warping on wearable sensor signals
(Elsevier Ireland Ltd., 2014)We develop an autonomous system to detect and evaluate physical therapy exercises using wearable motion sensors. We propose the multi-template multi-match dynamic time warping (MTMM-DTW) algorithm as a natural extension ... -
Classification of human motion based on affective state descriptors
(John Wiley & Sons Ltd., 2013)Human body movements and postures carry emotion-specific information. On the basis of this motivation, the objective of this study is to analyze this information in the spatial and temporal structure of the motion capture ... -
Combined filtering and key-frame reduction of motion capture data with application to 3DTV
(2006)A new method for combined filtering and key-frame reduction of motion capture data is proposed. Filtering of motion capture data is necessary to eliminate any jitter introduced by a motion capture system. Key-frame reduction, ... -
Data-driven synthesis of realistic human motion using motion graphs
(Bilkent University, 2014)Realistic human motions is an essential part of diverse range of media, such as feature films, video games and virtual environments. Motion capture provides realistic human motion data using sensor technology. However, ... -
Example-based retargeting of human motion to arbitrary mesh models
(Blackwell Publishing Ltd, 2015)We present a novel method for retargeting human motion to arbitrary 3D mesh models with as little user interaction as possible. Traditional motion-retargeting systems try to preserve the original motion, while satisfying ... -
Investigating inter-subject and inter-activity variations in activity recognition using wearable motion sensors
(Oxford University Press, 2016)This work investigates inter-subject and inter-activity variability of a given activity dataset and provides some new definitions to quantify such variability. The definitions are sufficiently general and can be applied ... -
Keyframe reduction techniques for motion capture data
(2008)Two methods for keyframe reduction of motion capture data are presented. Keyframe reduction of motion capture data enables animators to easily edit motion data with smaller number of keyframes. One of the approaches achieves ... -
Motion capture and human pose reconstruction from a single-view video sequence
(Academic Press, 2013)We propose a framework to reconstruct the 3D pose of a human for animation from a sequence of single-view video frames. The framework for pose construction starts with background estimation and the performer's silhouette ... -
Motion capture from single video sequence
(Bilkent University, 2006)3D human pose reconstruction is a popular research area since it can be used in various applications. Currently most of the methods work for constrained environments, where multi camera views are available and camera ... -
A multi scale motion saliency method for keyframe extraction from motion capture sequences
(Bilkent University, 2010)Motion capture is an increasingly popular animation technique; however data acquired by motion capture can become substantial. This makes it di cult to use motion capture data in a number of applications, such as motion ... -
Multiscale motion saliency for keyframe extraction from motion capture sequences
(John Wiley & Sons Ltd., 2011)Motion capture is an increasingly popular animation technique; however data acquired by motion capture can become substantial. This makes it difficult to use motion capture data in a number of applications, such as motion ... -
Real-time virtual fitting with body measurement and motion smoothing
(Pergamon Press, 2014)We present a novel virtual fitting room framework using a depth sensor, which provides a realistic fitting experience with customized motion filters, size adjustments and physical simulation. The proposed scaling method ... -
Searching for complex human activities with no visual examples
(2008)We describe a method of representing human activities that allows a collection of motions to be queried without examples, using a simple and effective query language. Our approach is based on units of activity at segments ...
