Maybe we are finally getting to an objective analysis of the problems with gait. Some of my PTs had no clue, I got 'Walk this way', which had to be one of the worst.
Motion Pattern Tracking for Home Based Stroke Rehabilitation Exercise Using MESA SR4500
Rusli, Nur Quraisyia Aqilah Mohd ; Zulkifley, Mohd Asyraf ; Hussain, Aini ; Mustafa, Mohd Marzuki
An automated physiotherapy exercise monitoring system requires
good postural structure and pose information. Most of human movements
for daily activity pivoted on lower limb that requires intensive care,
especially for the stroke patient. However, there are a lot of
uncertainties in human stance, movement and strength that need to be
observed for good rehabilitation training. Hence, home-based
rehabilitation monitoring system for lower limb therapy is crucial to
encourage and facilitate the patient to perform the exercise
effectively. This paper presents a novel real time rehabilitation system
by tracking the lower limb information based on 3D information by using
MESA SR4500, which produces Red, Green, Blue and Depth (RGBD)
information. In this paper, only Depth and grayscale image have been
utilized to track and evaluate the patient movement. A marker that
located at the centroid of the moving body region has been estimated by
using Kalman Filter, which acts as the main component. The pattern for a
correctly performed exercise is different compared to the wrongly done
exercise. The motion pattern has been evaluated to test the
effectiveness of the exercise from the obtained graph. In conclusion,
the results show that depth information is more important compared to
grayscale information as it affects the tracking performance the most.
Published in:
Information Science and Security (ICISS), 2015 2nd International Conference onDate of Conference:
14-16 Dec. 2015- Page(s):
- 1 - 5
- Conference Location :
- Seoul, Korea (South)
- DOI:
- 10.1109/ICISSEC.2015.7371021
No comments:
Post a Comment