Babak Taati, PhD

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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.
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
Conf Proc IEEE Eng Med Biol Soc. 2017 Jul;2017:1178-1181
Taati B, Lohia P, Mansfield A, Ashraf AB
IEEE Trans Neural Syst Rehabil Eng. 2017 Aug 07;:
Dolatabadi E, Taati B, Mihailidis A
Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:6150-6153
Dolatabadi E, Taati B, Mihailidis A
Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:6150-6153
Dolatabadi E, Taati B, Mihailidis A, Dolatabadi E, Taati B, Mihailidis A, Taati B, Mihailidis A, Dolatabadi E
IEEE J Biomed Health Inform. 2016 May 11;:
Li MH, Yadollahi A, Taati B
IEEE J Biomed Health Inform. 2016 Nov 24;
Dolatabadi E, Mansfield A, Patterson K, Taati B, Mihailidis A

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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