Design of New Aerobics Intelligent Motion Capture System

A new aerobics intelligent motion capture system using MEMS is proposed based on analyzing key technology of recent human motion capture system which is most benefit for intelligent tutoring system. Architecture of aerobics intelligent motion capture system is designed. And core technology solutions of the system including large-scale aerobics tutoring and training motion data obtain system, multi-position micro-electro-mechanical sensors system based on wireless network and multi-source data fusion and processing system with high-frequency real-time data transmission system are put forward.

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Design of Multi-User Aerobics Wireless Human Motion Capture System Based on MEMS

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.650.518 ◽

2013 ◽

Vol 650 ◽

pp. 518-522

Author(s):

Juan Xiao

Keyword(s):

Real Time ◽

Motion Capture ◽

Large Scale ◽

Three Dimensional ◽

Human Motion ◽

Motion Capture System ◽

Human Motion Capture ◽

Large Scale Data ◽

Core Technology ◽

Real Time Transmission

Main characteristics of recent human motion capture systems are analyzed in the paper firstly. Based on that, a new multi-user aerobics wireless human motion capture system based on MEMS is proposed. Design of its framework and core technology solutions including large-scale data obtain, multi-hop wireless sensor and high-frequency real-time transmission are put forward. Finally, three-dimensional real-time reconstructions of the multi-user aerobics wireless motion capture system are showed in the paper.

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Use of Human Motion Data to Train Wearable Robots

Turkish Journal of Computer and Mathematics Education (TURCOMAT) ◽

10.17762/turcomat.v12i6.2100 ◽

2021 ◽

Vol 12 (6) ◽

pp. 807-811

Author(s):

JIBUM JUNG Et.al

Keyword(s):

Motion Capture ◽

Human Motion ◽

Machine Learning Algorithms ◽

Walking Robots ◽

Motion Capture System ◽

Motion Data ◽

Wearable Robots ◽

Human Movements ◽

Optical Motion ◽

Optical Motion Capture

Development of wearable robots is accelerating. Walking robots mimic human behavior and must operate without accidents. Human motion data are needed to train these robots. We developed a system for extracting human motion data and displaying them graphically.We extracted motion data using a Perception Neuron motion capture system and used the Unity engine for the simulation. Several experiments were performed to demonstrate the accuracy of the extracted motion data.Of the various methods used to collect human motion data, markerless motion capture is highly inaccurate, while optical motion capture is very expensive, requiring several high-resolution cameras and a large number of markers. Motion capture using a magnetic field sensor is subject to environmental interference. Therefore, we used an inertial motion capture system. Each movement sequence involved four and was repeated 10 times. The data were stored and standardized. The motions of three individuals were compared to those of a reference person; the similarity exceeded 90% in all cases. Our rehabilitation robot accurately simulated human movements: individually tailored wearable robots could be designed based on our data. Safe and stable robot operation can be verified in advance via simulation. Walking stability can be increased using walking robots trained via machine learning algorithms.

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Biomechanical Analysis of Two Techniques Performed in Table Tennis

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.182-183.1658 ◽

2012 ◽

Vol 182-183 ◽

pp. 1658-1661 ◽

Cited By ~ 1

Author(s):

Bi Jian Mao

Keyword(s):

19Th Century ◽

Motion Capture ◽

Biomechanical Analysis ◽

Motion Capture System ◽

Table Tennis ◽

Core Technology ◽

Ball Contact ◽

Speed Parameter ◽

The 19Th Century ◽

Peak Speed

Table tennis, as one of the most popular sports in China, has grown considerably since its developed in the 19th century in England. The biomechanics of the research methods in many sports has been widely used, for understanding of sports and technology and improve sports played an important role Fast break and curving ball technology is this game’s core technology. In this study, we based on fast break and curving ball features of kinematic to reveal the table tennis forehand techniques. Eight male volunteers were participated in this tests, the speed of the racket during the playing was recorded through Vicon Motion Capture System. The action was divided into three major phases: back swing, attack and follow through. At the end of back swing stage, break and curl technologies, the speed parameter shows some differences. While the peak speed in ball contact frame, the speed of curling ball was significantly higher than the fast break. Further study could be carried out in detailing analysis at sub-stage of the action for integral considering.

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Stereo-Based Markerless Human Motion Capture System

Cognitive Systems Monographs - Visual Perception for Manipulation and Imitation in Humanoid Robots ◽

10.1007/978-3-642-04229-4_7 ◽

2009 ◽

pp. 147-183

Author(s):

Pedram Azad

Keyword(s):

Motion Capture ◽

Human Motion ◽

Motion Capture System ◽

Human Motion Capture

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Networked Human Motion Capture System Based on Quaternion Navigation

Proceedings of the 11th International Conference on Body Area Networks ◽

10.4108/eai.15-12-2016.2267544 ◽

2017 ◽

Author(s):

jie li ◽

Zhe-long Wang ◽

Hongyu Zhao ◽

Raffael Gravina ◽

Giancarlo Fortino ◽

...

Keyword(s):

Motion Capture ◽

Human Motion ◽

Motion Capture System ◽

Human Motion Capture

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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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