Dr. Taati's research focuses on the application of computer vision and machine learning techniques in solving real-world rehabilitation and assistive technology challenges and in health and safety monitoring. Examples include real-time upper-limb motion assessment during post-stroke rehabilitation therapy and the analysis of gait and joint movements to monitor the rehabilitation process in the home. A major focus of Dr. Taati's is to move away from the laboratory and contrived situations towards the development of computer vision algorithms and systems that work reliably in natural settings, such as in the home.
J Gerontol A Biol Sci Med Sci. 2019 Aug 20;:
Mehdizadeh S, Dolatabadi E, Ng KD, Mansfield A, Flint A, Taati B, Iaboni A
J Nonverbal Behav. 2019;43(3):309-327
Erin Browne M, Hadjistavropoulos T, Prkachin K, Ashraf A, Taati B
Arch Gerontol Geriatr. 2019 May - Jun;82:200-206
Dolatabadi E, Zhi YX, Flint AJ, Mansfield A, Iaboni A, Taati B
J Neuroeng Rehabil. 2018 Nov 06;15(1):97
Li MH, Mestre TA, Fox SH, Taati B
Dement Geriatr Cogn Disord. 2018 Jul 24;45(5-6):353-367
Dolatabadi E, Van Ooteghem K, Taati B, Iaboni A
Parkinsonism Relat Disord. 2018 May 05;:
Li MH, Mestre TA, Fox SH, Taati B
Alzheimers Dement. 2018 Mar 20;:
Khan SS, Ye B, Taati B, Mihailidis A
IEEE J Transl Eng Health Med. 2018;6:2100107
Zhi YX, Lukasik M, Li MH, Dolatabadi E, Wang RH, Taati B
Conf Proc IEEE Eng Med Biol Soc. 2017 Jul;2017:3377-3380
Li MH, Mestre TA, Fox SH, Taati B

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Assistant Professor, Institute of Biomaterials and Biomedical Engineering, University of Toronto
Assistant Professor (status only), Department of Computer Science, University of Toronto