Journals Information
Universal Journal of Communications and Network(CEASE PUBLICATION) Vol. 6(1), pp. 1 - 5
DOI: 10.13189/ujcn.2018.060101
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Motion Capture Systems Using Optimal Signal Processing Algorithm: A State-of-the-art Literature
Md Masud Rana , Nazia Halim *
Department of Electronics and Communication Engineering, Khulna University of Engineering & Technology, Bangladesh
ABSTRACT
Motion capture system is a promising research area but the availability of the state-of-the-art literature review on this topic is limited. This research provides a comprehensive literature review for motion capture systems with Kalman filtering algorithms. The summarized state-of-the-art literature review of motion capturing system is being analyzed considering the advantages and the disadvantages of motion capture systems using Kalman filtering algorithm. Afterwards, the human body incorporating noises is represented by system of equations where the system states are unknown. The Kalman filter is adopted to estimate the human body orientations. Simulation results show that the proposed algorithm can be used to track human body orientation accurately.
KEYWORDS
Human Body Orientation, Sensors, Kalman Filter, Motion Capture Systems
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Md Masud Rana , Nazia Halim , "Motion Capture Systems Using Optimal Signal Processing Algorithm: A State-of-the-art Literature," Universal Journal of Communications and Network(CEASE PUBLICATION), Vol. 6, No. 1, pp. 1 - 5, 2018. DOI: 10.13189/ujcn.2018.060101.
(b). APA Format:
Md Masud Rana , Nazia Halim (2018). Motion Capture Systems Using Optimal Signal Processing Algorithm: A State-of-the-art Literature. Universal Journal of Communications and Network(CEASE PUBLICATION), 6(1), 1 - 5. DOI: 10.13189/ujcn.2018.060101.