Research on Lift Assistance Seat for Elderly People—Focusing on Analysis of Motion Capture and EMG

2016 ◽  
pp. 329-337 ◽  
Author(s):  
Toshiki Matsuo ◽  
Kenta Yamada ◽  
Wonseok Yang ◽  
Alireza Ahrary
Keyword(s):  
Elderly People ◽  
Motion Capture ◽  
Analysis Of Motion

Study on Feature Extraction Methods Based on Motion Capture Data

2014 ◽  
Vol 926-930 ◽  
pp. 2114-2117
Author(s):  
Yong Dan Nie ◽  
Yan Zhang ◽  
Xian Mei Liu
Keyword(s):  
Feature Extraction ◽  
Motion Capture ◽  
Extraction Method ◽  
Data Retrieval ◽  
Extraction Methods ◽  
Motion Capture Data ◽  
Motion Feature ◽  
Feature Extraction Method ◽  
Motion Data ◽  
Analysis Of Motion

By the analysis of motion Geometric features and Continuing feature that the motion capture data of the BVH format showed,Motion feature extraction method was proposed in this paper to preserve the motion original features in the maximum extent and marked motion data,improved the speed of motion data retrieval,and also provided a new method for rendering of motion characters in the virtual environment.

scholarly journals Robotic Leg Design to Analysis the Human Leg Swing from Motion Capture

2017 ◽  
Vol 6 (3) ◽  
pp. 256-264 ◽  
Author(s):  
Riky Tri Yunardi ◽  
Aji Akbar Firdaus ◽  
Eva Inaiyah Agustin
Keyword(s):  
Motion Capture ◽  
Average Error ◽  
Servo Motor ◽  
Movement Sequence ◽  
Leg Motion ◽  
Three Degree Of Freedom ◽  
Robotic Leg ◽  
Leg Design ◽  
Is Design ◽  
Analysis Of Motion

In this paper presented the prototype of robotic leg has been designed, constructed and controlled. These prototype are designed from a geometric of human leg model with three joints moving in 2D plane. Robot has three degree of freedom using DC servo motor as a joint actuators: hip, knee and ankle. The mechanical leg constructed using aluminum alloy and acrylic material. The control movement of this system is based on motion capture data stored on a personal computer. The motions are recorded with a camera by use of a marker-based to track movement of human leg. Propose of this paper is design of robotic leg to present the analysis of motion of the human leg swing and to testing the system ability to create the movement from motion capture. The results of this study show that the design of robotic leg was capable for practical use of the human leg motion analysis. The accuracy of orientation angles of joints shows the average error on hip is 1.46º, knee is 1.66º, and ankle is 0.46º. In this research suggesting that the construction of mechanic is an important role in the stabilization of the movement sequence.

Similarity analysis of motion based on motion capture technology

2016 ◽  
Author(s):  
Ega Hegarini ◽  
Achmad Benny Mutiara ◽  
Adang Suhendra ◽  
Mohammad Iqbal ◽  
Bheta Agus Wardijono
Keyword(s):  
Motion Capture ◽  
Similarity Analysis ◽  
Analysis Of Motion
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