@article{(Open Science Index):https://publications.waset.org/pdf/9999107,
	  title     = {Video-Based System for Support of Robot-Enhanced Gait Rehabilitation of Stroke Patients},
	  author    = {Matjaž Divjak and  Simon Zelič and  Aleš Holobar},
	  country	= {},
	  institution	= {},
	  abstract     = {We present a dedicated video-based monitoring
system for quantification of patient’s attention to visual feedback
during robot assisted gait rehabilitation. Two different approaches for
eye gaze and head pose tracking are tested and compared. Several
metrics for assessment of patient’s attention are also presented.
Experimental results with healthy volunteers demonstrate that
unobtrusive video-based gaze tracking during the robot-assisted gait
rehabilitation is possible and is sufficiently robust for quantification
of patient’s attention and assessment of compliance with the
rehabilitation therapy.
	    journal   = {International Journal of Medical and Health Sciences},
	  volume    = {8},
	  number    = {7},
	  year      = {2014},
	  pages     = {435 - 442},
	  ee        = {https://publications.waset.org/pdf/9999107},
	  url   	= {https://publications.waset.org/vol/91},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 91, 2014},