Software Environment for Motion Capture System Based on Inertial Sensors

2019 ◽  
Author(s):  
Artem V. Ivanov ◽  
Elena A. Zhilenkova
Keyword(s):  
Motion Capture ◽  
Inertial Sensors ◽  
Motion Capture System ◽  
Software Environment

A Mobile Motion Capture System Based on Inertial Sensors and Smart Shoes

2013 ◽  
Vol 136 (1) ◽  
Author(s):  
Pyeong-Gook Jung ◽  
Sehoon Oh ◽  
Gukchan Lim ◽  
Kyoungchul Kong
Keyword(s):  
Motion Capture ◽  
Inertial Sensors ◽  
Kinematic Model ◽  
Three Dimensional ◽  
Health Condition ◽  
Body Motion ◽  
Whole Body ◽  
Motion Capture System ◽  
Outdoor Sports ◽  
Motion Capture Systems

Motion capture systems play an important role in health-care and sport-training systems. In particular, there exists a great demand on a mobile motion capture system that enables people to monitor their health condition and to practice sport postures anywhere at any time. The motion capture systems with infrared or vision cameras, however, require a special setting, which hinders their application to a mobile system. In this paper, a mobile three-dimensional motion capture system is developed based on inertial sensors and smart shoes. Sensor signals are measured and processed by a mobile computer; thus, the proposed system enables the analysis and diagnosis of postures during outdoor sports, as well as indoor activities. The measured signals are transformed into quaternion to avoid the Gimbal lock effect. In order to improve the precision of the proposed motion capture system in an open and outdoor space, a frequency-adaptive sensor fusion method and a kinematic model are utilized to construct the whole body motion in real-time. The reference point is continuously updated by smart shoes that measure the ground reaction forces.

scholarly journals Research on Multiperson Motion Capture System Combining Target Positioning and Inertial Attitude Sensing Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yifei Wang ◽  
Yongsheng Wang
Keyword(s):  
Real Time ◽  
Motion Capture ◽  
Inertial Sensors ◽  
Recognition Rate ◽  
Human Motion ◽  
Motion Capture System ◽  
Fusion Algorithm ◽  
Raw Data ◽  
Sensing Technology ◽  
Fusion Target

The purpose of this study is to solve the problems of multiple targets, poor accuracy, and inability to obtain displacement information in motion capture. Based on fusion target positioning and inertial attitude sensing technology, Unity3D is employed to create 3D scenes and 3D human body models to read real-time raw data from inertial sensors. Furthermore, a gesture fusion algorithm is used to process the raw data in real time to generate a quaternion, and a human motion capture system is designed based on inertial sensors for the complete movement information recording of the capture target. Results demonstrate that the developed system can accurately capture multiple moving targets and provide a higher recognition rate, reaching 75%∼100%. The maximum error of the system adopting the fusion target positioning algorithm is 10 cm, a reduction of 71.24% compared with that not using the fusion algorithm. The movements of different body parts are analyzed through example data. The recognition efficiency of “wave,” “crossover,” “pick things up,” “walk,” and “squat down” is as high as 100%. Hence, the proposed multiperson motion capture system that combines target positioning and inertial attitude sensing technology can provide better performance. The results are of great significance to promote the development of industries such as animation, medical care, games, and sports training.

scholarly journals Architecture proposal for a support system to upper limb telerehabilitation by capturing biomechanical signals

2015 ◽  
Vol 24 (40) ◽  
pp. 41
Author(s):  
Mauro Callejas-Cuervo ◽  
Manuel Andrés Vélez-Guerrero ◽  
Andrés Felipe Ruíz-Olaya ◽  
Rafael María Gutiérrez-Salamanca
Keyword(s):  
Kalman Filter ◽  
Literature Review ◽  
Motion Capture ◽  
Upper Limb ◽  
Joint Angle ◽  
Inertial Sensors ◽  
Motor Disorders ◽  
Motion Capture System ◽  
Active Videogames ◽  
Therapy Service

<p>This article proposes a system for Telerehabilitation of people with motor disorders of the upper limb, by making a literature review about works related with the provision of the physical therapy service with ICT’s use. Likewise, there is a brief description of the modules integrating the system: motion capture system based on inertial sensors and motion capture with camera; joint angle estimator was implemented through Kalman filter; IT app which registers the electronic medical record and finally, the active videogames module.</p>

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