![](bg6.png)
tracking of real hand movement is able to monitor in
real-time under “Real Arm Trajectory Graph”
effectively. The screen shot of the proof of study is
depicted in figure 5.
Figure 5: Result from proof of concept study.
6 CONCLUSIONS AND FUTURE
WORK
In this paper, ARIS was developed to improve the
upper limb range of motion especially for shoulder
joint motion with “Fool-the-Brain” concept. The AR
based computer game is chosen as a rehabilitation
exercise as integrating with AR technology in
rehabilitation field provides high motivation for long
term training. Therefore, AR based CME was
developed in ARIS to attain the wide range of
shoulder joint motions via reaching exercise.
Throughout the performing of CME rehabilitation
exercise, the real arm was overlapped by VA model
to fool the user perception to attain artificial visual
feedback that provides fast recovery of user’s neural
impairment. If the user cannot reach to the particular
point, VA will take over the job of real arm and will
let the user to perceive the sense that he/she is still
able to perform the reaching movement by own
effort to that particular point. Non-clinical study was
conducted to validate the novelty aspects of ARIS
and provided with positive observations to carry on
with future works.
As far as future work is concerned, improvement
of the appearance of the VA model will be made.
The model will be replaced with user skin texture
that can be adjusted according to the individual user
complexion. This will perceive the more realistic
appearance of virtual arm as a real user arm. To
make it more effective rehabilitation system, the
system will be integrated with biofeedback system to
detect the intended movement of the user via surface
eletromygraphy (sEMG) signals. Non-clinical trials
with more participants will be conducted in near
future to attain the improvement on illusion,
perception and understanding the level of interest of
developed rehabilitation exercise. Then, the clinical
trial to be conducted at Port Kembla Rehabilitation
Hospital in Australia after all the necessary
improvements have made and result will be reported
soon.
REFERENCES
Al-Issa, H., Regenbrecht, H., & Hale, L. (2012).
Augmented reality applications in rehabilitation to
improve physical outcomes. Physical Therapy
Reviews, 17(1), 16-28.
Aung, Y. M., & Al-Jumaily, A. (2012a, 24-27 June 2012).
AR based upper limb rehabilitation system. Paper
presented at the 4th IEEE RAS & EMBS International
Conference on Biomedical Robotics and
Biomechatronics (BioRob), Rome, Italy.
Aung, Y. M., & Al-Jumaily, A. (2012b, 5-8 Aug. 2012).
Shoulder rehabilitation with biofeedback simulation.
Paper presented at the 2012 International Conference
on Mechatronics and Automation (ICMA), Chengdu,
China.
Aung, Y. M., & Al-Jumaily, A. (2013). Neuromotor
Rehabilitation System with Real-Time Biofeedback.
International Journal of Computer Information
Systems and Industrial Management Applications, 5,
550-556.
Denavit, J., & Hartenberg, R. S. (1964). Kinematic
Synthesis of Linkages. New York: McGraw-Hill.
Dinevan, A., Aung, Y. M., & Al-Jumaily, A. (2011, 5-8
Dec. 2011). Human computer interactive system for
fast recovery based stroke rehabilitation. Paper
presented at the 11th International Conference on
Hybrid Intelligent Systems (HIS).
Giraux, P., & Sirigu, A. (2003). Illusory movements of the
paralyzed limb restore motor cortex activity.
NeuroImage, 20, Supplement 1(0), S107-S111.
Lee, M. M., Cho, H.-y., & Song, C. H. (2012). The Mirror
Therapy Program Enhances Upper-Limb Motor
Recovery and Motor Function in Acute Stroke
Patients. American Journal of Physical Medicine &
Rehabilitation, 91(8), 689-700.
Lin, K. C., Chen, Y. T., Huang, P. C., Wu, C. Y., Huang,
W. L., Yang, H. W., . . . Lu, H. J. (2012). Effect of
mirror therapy combined with somatosensory
stimulation on motor recovery and daily function in
stroke patients: A pilot study. Journal of the Formosan
Medical Association(0).
Physical Disability Australia. (2013). What is physical
disability? Retrieved May, 2013, from
http://www.pda.org.au/what-is-physical-disability.
Regenbrecht, H., Hoermann, S., McGregor, G., Dixon, B.,
Franz, E., Ott, C., Hoermann, J. (2012). Visual
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