REAL-TIME AUTOMATED CONTOUR BASED MOTION TRACKING USING A SINGLE-CAMERA FOR UPPER LIMB ANGULAR MOTION MEASUREMENT

Authors

  • Alireza Akhavizadegan Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia
  • Mohd Yamani Idna Idris Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia
  • Zaidi Bin Razak Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia
  • Mazlina Binti Mazlan Department of Rehabilitation Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
  • Norhamizan Binti Hamzah Department of Rehabilitation Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
  • Ainuddin Wahid Abdul Wahab Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia
  • Mehdi Hussain School of Electrical Engineering and Computer Science, National University of Science and Technology, Islamabad, Pakistan

DOI:

https://doi.org/10.22452/mjcs.vol33no1.4

Keywords:

Angular Measurement, Stroke Rehabilitation, Home-Based Rehabilitation, Upper Limb, Motion Tracking, Skin Segmentation, Contour-based Measurement

Abstract

Upper limb angular motion measurement is particularly a subject of interest in the field of rehabilitation. It is commonly measured manually by physiotherapist via goniometer to monitor stroke patient’s progress. However, manual measurement has many inherent drawbacks such as the need to have both patient and physiotherapist to be at the same place. In this paper, an automated real-time single-camera upper limb angular motion measuring system is proposed for home-based rehabilitation to aid physiotherapist to monitor patient’s progress. The measurement of concern are angle measurement of elbow extension, elbow flexion, wrist flexion and wrist extension. To do this, we propose a method that utilized predefined coordinate points extracted from the contours of the object named as contour based motion tracking. The proposed method overcome problems of prior target tracking techniques such as Kalman filter, Optical flow and Cam-shift. The proposed method includes skin region segmentation and arm modelling for motion tracking. Prior skin segmentation techniques suffer from fixed threshold value set by the user. Therefore, we introduce dynamic threshold based on the lower and upper threshold boundary of isolated skin regions from the background. To ensure the reliability of our skin segmentation method, we compare them with four different related algorithms. The result shows that our skin segmentation method outperformed the prior method with 93% detection accuracy. Following the segmentation, we model the arm motion tracking by formulating mathematical equation of various points and motion velocities to track the arm. We then model the wrist and elbow position to estimate arm angular motion. The method is put together and tested with real human subject and other test settings. The result shows that our proposed method able to produce an accurate and reliable reading of +-1.25 average range of error from actual physiotherapist reading.

Downloads

Download data is not yet available.

Downloads

Published

2020-01-31

How to Cite

Akhavizadegan, A., Idna Idris, M. Y., Razak, Z. B., Mazlan, M. B., Hamzah, N. B., Abdul Wahab, A. W., & Hussain, M. (2020). REAL-TIME AUTOMATED CONTOUR BASED MOTION TRACKING USING A SINGLE-CAMERA FOR UPPER LIMB ANGULAR MOTION MEASUREMENT. Malaysian Journal of Computer Science, 33(1), 52–77. https://doi.org/10.22452/mjcs.vol33no1.4

Most read articles by the same author(s)