A New Bio-Informatics Framework: Research on 3D Sensor Data of Human Activities

Abstract

Due to increasing attraction of motion capture systems technology and the usage of captured data in wide range of research-oriented applications, a framework has developed as an improved version of MOCAP TOOLBOX in Matlab platform. Firstly, we have introduced a faithful script to deal with public motion capture data, which will be friendly for us. Various functions through dynamic programming, by using the Body Segment Parameters (BSP) are edited and they configured the position of markers according to data. It is used to visualize and refine without the MLS view and the C3D editor software. It has opened a valuable way of sensor data in many research aspects as gait movements, marker analysis, compression and motion pattern, bioinformatics, and animation. As a result, performed on CMU and ACCAD public mocap data, and achieved higher corrected configuration scheme of 3D markers when compared with the prior art, especially for C3D file. Another distinction of this work is that it handles the extra markers distortion, and provides the meaningful way to use captured data.

Authors and Affiliations

Sajid Ali, Wu Zhongke, Muhammad Khan, Ahmad Pasha, Zhou Mingquan

Keywords

Related Articles

Robot Path Planning Based on Random Coding Particle Swarm Optimization

Mobile robot navigation is to find an optimal path to guide the movement of the robot, so path planning is guaranteed to find a feasible optimal path. However, the path planning problem must be solve two problems, i.e.,...

Contemporary Layout’s Integration for Geospatial Image Mining

Image taxonomy and repossession plays a major role in dealing with large multimedia data on the Internet. Social networks, image sharing websites and mobile application require categorizing multimedia items for more effi...

MOMEE: Manifold Optimized Modeling of Energy Efficiency in Wireless Sensor Network

Although adoption pace of wireless sensor network has increased in recent times in many advance technologies of ubiquitous-ness, but still there are various open-end challenges associated with energy efficiencies among t...

 Simultaneous Estimation of Geophysical Parameters with Microwave Radiometer Data based on Accelerated Simulated Annealing: SA

 Method for geophysical parameter estimations with microwave radiometer data based on Simulated Annealing: SA is proposed. Geophysical parameters which are estimated with microwave radiometer data are closely relate...

Localisation of Information and Communication Technologies in Cameroonian Languages and Cultures:Experience and Issues

In this paper, we tackle the problem of adapting Information and Communication Technologies (ICTs) in local languages of Cameroon. The objectives are to reduce the digital and language divides, and to pave the way for th...

Download PDF file
  • EP ID EP132525
  • DOI 10.14569/IJACSA.2015.060501
  • Views 80
  • Downloads 0

How To Cite

Sajid Ali, Wu Zhongke, Muhammad Khan, Ahmad Pasha, Zhou Mingquan (2015). A New Bio-Informatics Framework: Research on 3D Sensor Data of Human Activities. International Journal of Advanced Computer Science & Applications, 6(5), 1-11. https://europub.co.uk./articles/-A-132525