Motion Capture Based on Intelligent Sensor in Snow and Ice Sports

With the development of motion capture technology, it has become a reality to efficiently and quickly obtain realistic human motion information. Motion capture technology has been successfully applied in many fields such as sports competitions, animation games, and film and television production. This article is aimed at studying the application of motion capture technology based on smart sensors in ice and snow sports. Put forward the idea of applying smart sensor-based motion capture technology to ice and snow sports. This article introduces in detail smart sensors, motion capture technology, and related content of ice and snow sports and conducts specific experiments on the application of smart sensor-based motion capture technology in ice and snow sports. The experimental results show that motion capture based on smart sensor technology can help athletes improve their skills and tactics. At the same time, motion capture technology based on smart sensors is also loved by most coaches and athletes, and everyone’s satisfaction with this technology has reached more than 70%.

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Natural human–computer interaction control of multi operators in collaborative virtual maintenance based on optical human motion capture system

International Journal of Modeling Simulation and Scientific Computing ◽

10.1142/s1793962316500021 ◽

2016 ◽

Vol 07 (02) ◽

pp. 1650002

Author(s):

Xiangyang Li ◽

Zhili Zhang ◽

Feng Liang ◽

Qinhe Gao ◽

Lilong Tan

Keyword(s):

Human Computer Interaction ◽

Real Time ◽

Motion Capture ◽

Human Motion ◽

Motion Capture System ◽

Human Motion Capture ◽

Interaction Control ◽

Time Motion ◽

Virtual Maintenance ◽

Computer Interaction

Aiming at the human–computer interaction control (HCIC) requirements of multi operators in collaborative virtual maintenance (CVM), real-time motion capture and simulation drive of multi operators with optical human motion capture system (HMCS) is proposed. The detailed realization process of real-time motion capture and data drive for virtual operators in CVM environment is presented to actualize the natural and online interactive operations. In order to ensure the cooperative and orderly interactions of virtual operators with the input operations of actual operators, collaborative HCIC model is established according to specific planning, allocating and decision-making of different maintenance tasks as well as the human–computer interaction features and collaborative maintenance operation features among multi maintenance trainees in CVM process. Finally, results of the experimental implementation validate the effectiveness and practicability of proposed methods, models, strategies and mechanisms.

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Real-Time Motion Capture for a Human Body using Accelerometers

Robotica ◽

10.1017/s0263574701003319 ◽

2001 ◽

Vol 19 (6) ◽

pp. 601-610 ◽

Cited By ~ 25

Author(s):

Jihong Lee ◽

Insoo Ha

Keyword(s):

Real Time ◽

Motion Capture ◽

Human Body ◽

Degrees Of Freedom ◽

Low Cost ◽

Human Motion ◽

The Body ◽

Sensor Data ◽

Time Motion ◽

Gravity Acceleration

In this paper we propose a set of techniques for a real-time motion capture of a human body. The proposed motion capture system is based on low cost accelerometers, and is capable of identifying the body configuration by extracting gravity-related terms from the sensor data. One sensor unit is composed of 3 accelerometers arranged orthogonally to each other, and is capable of identifying 2 rotating angles of joints with 2 degrees of freedom. A geometric fusion technique is applied to cope with the uncertainty of sensor data. A practical calibration technique is also proposed to handle errors in aligning the sensing axis to the coordination axis. In the case where motion acceleration is not negligible compared with gravity acceleration, a compensation technique to extract gravity acceleration from the sensor data is proposed. Experimental results not only for individual techniques but also for human motion capturing with graphics are included.

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