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Babak Taati, PhD PEng, is a Scientist at The KITE Research Institute at University Health Network. He also holds an Assistant Professor appointment (status only) in the Department of Computer Science at the University of Toronto. His research applies computer vision techniques in the development and evaluation of intelligent health monitoring and rehabilitation technologies. AGE-WELL Funded ProjectsOutputs
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| Concurrent Validity of the Microsoft Kinect for Windows v2 for Measuring Spatiotemporal Gait Parameters Toronto Rehab Institute, The KITE Research Institute at University Health Network, KITE Research Institute at University Health Network | Scientific Excellence - Advancing Knowledge | 2016-07-04 | | | A vision-based approach for automated gait analysis in stroke Toronto Rehab Institute, The KITE Research Institute at University Health Network, KITE Research Institute at University Health Network | Scientific Excellence - Advancing Knowledge | 2015-09-01 | | | Automated Classification of Pathological Gait after Stroke Using Ubiquitous Sensing Technology
Toronto Rehab Institute, The KITE Research Institute at University Health Network, KITE Research Institute at University Health Network | Scientific Excellence - Advancing Knowledge | 2016-09-09 | | | Gait Instability, Fall History, and Neuropsychiatric Symptoms are associated with Falls in People with DementiaPeople with dementia have impairments in gait that are associated with an increased risk of falls. The aim of this study was to investigate the relationship between gait features extracted from repeated, frequent gait assessments and future falls in older people with dementia. We found that gait instability, and increased neuropsychiatric symptoms, and fall history were independently associated with falls in people with dementia Toronto Rehab Institute, The KITE Research Institute at University Health Network, KITE Research Institute at University Health Network | Scientific Excellence - Advancing Knowledge | 2019-07-24 | | | Using Kinect camera to quantify gait variables that can predict falls in older adults with dementiaOur study demonstrated that a gait monitoring system comprising of a single Kinect camera can successfully quantify and monitor gait stability and fall risk of older people with dementia which makes it feasible to be used in the clinical settings. Toronto Rehab Institute, The KITE Research Institute at University Health Network, KITE Research Institute at University Health Network | Scientific Excellence - Advancing Knowledge | 2019-07-24 | | | Toward Mitigating Pressure Injuries: DetectingPatient Orientation from Vertical Bed Reaction Forces Toronto Rehab Institute, University Health Network, Toronto Rehab Institute/University Health Network | Scientific Excellence - Advancing Knowledge | 2020-01-01 | | | WP6 Face to face meeting (in Winnipeg, Manitoba)6.1 MEN-ASSESS, 6.2 COG-ASSESS, 6.3 PAIN CARE, 6.4-S1 SPEECH-ASSESS, 6.5-CAT, 6.6-CAT, 6.7-CAT, 6.8-SIP A1, AWNIH-DHC University of Alberta, University of Toronto, University of Regina, Toronto Rehab Institute, The KITE Research Institute at University Health Network, Toronto Rehab Institute, University Health Network, Bruyère Research Institute, Simon Fraser University, Toronto Rehab Institute/University of Toronto, Bruyere Research Institute | Networking and Partnerships | 2017-10-18 | Lili Liu, Eleni Stroulia, Mark Chignell, Thomas Hadjistavropoulos, Babak Taati, Frank Rudzicz, Frank Knoefel, Zahra Moussavi, Sylvain Moreno, Andrea Wilkinson, Tiffany Tong, Peyman Azad-Khaneghah, Victor Fernandez, Dillam Romero, Azin Asgarian, Ahmed Ashraf, Natasha Gallant, Erin Browne, Caroline Ethier, Christine Daum | | Vision-based posture assessment to detect and categorize compensation during robotic rehabilitation therapy Toronto Rehab Institute, The KITE Research Institute at University Health Network, University of Toronto, KITE Research Institute at University Health Network | Scientific Excellence - Advancing Knowledge | 2012-06-01 | | | Creating intelligent rehabilitation technology: An interdisciplinary effort (Half day workshop) University of Toronto, University of Waterloo, Toronto Rehab Institute, The KITE Research Institute at University Health Network | Scientific Excellence - Advancing Knowledge | 2012-11-01 | | | Interdisciplinary development of intelligent rehabilitation technologies University of Waterloo, University of Toronto, Toronto Rehab Institute, The KITE Research Institute at University Health Network | Scientific Excellence - Advancing Knowledge | 2012-11-01 | | | Automated monitoring of facial pain in older adults with dementia using pairwise contrastive training. AWCRP-2020-07 University of Northern British Columbia, University of Regina, Toronto Rehab Institute, The KITE Research Institute at University Health Network | Scientific Excellence - Advancing Knowledge | 2022-10-18 | |
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