Stereo-based Markerless Human Motion Capture for Humanoid Robot Systems

2007 ◽  
Author(s):  
Pedram Azad ◽  
Ales Ude ◽  
Tamim Asfour ◽  
Rudiger Dillmann
Keyword(s):  
Motion Capture ◽  
Humanoid Robot ◽  
Human Motion ◽  
Human Motion Capture ◽  
Robot Systems

Design and similarity evaluation on humanoid motion based on human motion capture

Robotica ◽  
2009 ◽  
Vol 28 (5) ◽  
pp. 737-745 ◽  
Author(s):  
Qiang Huang ◽  
Zhangguo Yu ◽  
Weimin Zhang ◽  
Wei Xu ◽  
Xuechao Chen
Keyword(s):  
Motion Capture ◽  
Humanoid Robot ◽  
Human Motion ◽  
Kinematics And Dynamics ◽  
Ground Contact ◽  
High Similarity ◽  
Contact Conditions ◽  
Human Motion Capture ◽  
Dynamic Motion ◽  
Motion Performance

SUMMARYThis paper explores the design of humanoid complicated dynamic motion based on human motion capture. Captured human data must be adapted for the humanoid robot because its kinematics and dynamics mechanisms differ from those of the human actor. It is expected that humanoid movements are highly similar to those of the human actor. First, the kinematics constraints, including ground contact conditions, are formulated. Second, the similarity evaluation on the humanoid motion based on both the spatial and temporal factors compared with the human motion is proposed. Third, the method to obtain humanoid motion with high similarity is presented. Finally, the effectiveness of the proposed method is confirmed by simulations and experiments of our developed humanoid robot “sword” motion performance.

Keyframe Extraction for Human Motion Capture Data Based on Joint Kernel Sparse Representation

2017 ◽  
Vol 64 (2) ◽  
pp. 1589-1599 ◽  
Author(s):  
Guiyu Xia ◽  
Huaijiang Sun ◽  
Xiaoqing Niu ◽  
Guoqing Zhang ◽  
Lei Feng
Keyword(s):  
Sparse Representation ◽  
Motion Capture ◽  
Human Motion ◽  
Motion Capture Data ◽  
Human Motion Capture ◽  
Keyframe Extraction

scholarly journals Dealing with Magnetic Disturbances in Human Motion Capture: A Survey of Techniques

Micromachines ◽  
2016 ◽  
Vol 7 (3) ◽  
pp. 43 ◽  
Author(s):  
Gabriele Ligorio ◽  
Angelo Sabatini
Keyword(s):  
Motion Capture ◽  
Human Motion ◽  
Human Motion Capture ◽  
Magnetic Disturbances

Sensor network oriented human motion capture via wearable intelligent system

2021 ◽  
Author(s):  
Sen Qiu ◽  
Hongkai Zhao ◽  
Nan Jiang ◽  
Donghui Wu ◽  
Guangcai Song ◽  
...  
Keyword(s):  
Sensor Network ◽  
Motion Capture ◽  
Intelligent System ◽  
Human Motion ◽  
Human Motion Capture

Human Motion Capture Driven by Orientation Measurements

1999 ◽  
Vol 8 (2) ◽  
pp. 187-203 ◽  
Author(s):  
Tom Molet ◽  
Ronan Boulic ◽  
Daniel Thalmann
Keyword(s):  
Motion Capture ◽  
Human Motion ◽  
High Rate ◽  
Position Measurement ◽  
Human Motion Capture ◽  
Fast Tracking ◽  
Optical Motion ◽  
Optical Motion Capture ◽  
Tracking Object ◽  
Capture Techniques

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 constantly, but orientation inputs only occasionally. We propose a complete human motion-capture technique based essentially on orientation measurements. The position measurement is used only for recovering the global position of the performer. This method allows fast tracking of human gestures for interactive applications as well as high rate recording. Several motion-capture optimizations, including the multijoint technique, improve the posture realism. This work is well suited for magnetic-based systems that rely more on orientation registration (in our environment) than position measurements that necessitate difficult system calibration.

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