Babak Taati

Datasets & Code


Selected Publications: (see my Google Scholar Google Scholar profile for a complete list)

  • M. H. Li, T. A. Mestre, S. H. Fox, and B. Taati. Vision-Based Assessment of Parkinsonism and Levodopa-Induced Dyskinesia with Deep Learning Pose Estimation. Journal of NeuroEngineering and Rehabilitation, Vol. 15, No.97, Nov 2018 [link]
  • M. H. Li, T. A. Mestre, S. H. Fox, and B. Taati. Automated assessment of levodopa-induced dyskinesia: Evaluating the responsiveness of video-based features. Parkinsonism & Related Disorders, Vol. 53, pp 42-45, Aug 2018.[link]
  • E. Dolatabadi, B. Taati, and A. Mihailidis. An Automated Classification of Pathological Gait using Unobtrusive Sensing Technology. IEEE Transactions on Neural Systems & Rehabilitation Engineering (IEEE-TNSRE), Vol. 25, No. 12, pp 2336-2346, Dec 2017. [link]
  • S. Khan and B. Taati. Detecting Unseen Falls from Wearable Devices using Channel-wise Ensemble of Autoencoders. Expert Systems With Applications, 87, Nov 2017. [link] [preprint] (TRI-UHN Best Paper Award 2017)
  • M. Li, A. Yadollahi, and B. Taati. Non-Contact Vision-Based Cardiopulmonary Monitoring in Different Sleeping Positions. IEEE Journal of Biomedical and Health Informatics, 21(5), Sep 2017. [link]
  • A. B. Ashraf and B. Taati. Automated video analysis of handwashing behavior as a potential marker of cognitive health in older adults. IEEE Journal of Biomedical and Health Informatics, 20(2), Mar 2016. [link]
  • A. Akl, B. Taati and A. Mihailidis. Autonomous unobtrusive detection of mild cognitive impairment in older adults. IEEE Transactions on Biomedical Engineering (TBME), Vol. 62, No. 5, pp 1383-1394, 2015. [link]
  • E. Dolatabadi, B. Taati and A. Mihailidis. A Vision-Based Approach to Monitor Changes in Balance: A Case Study Following Total Hip Replacement Surgery. Journal of Rehabilitation Research & Development (JRRD), Vol. 51, No. 7, pp 1165-1176, 2014. [link (PDF)]
  • B. Taati, J. Snoek, D. Aleman, A. Ghavamzadeh, Data mining in bone marrow transplant records to identify patients with high odds of survival (J-BHI), 18(1):21-27, Jan 2014. [link]
  • B. Taati, J. Snoek, A. Mihailidis, Video analysis for identifying human operation difficulties and faucet usability assessment, Neurocomputing, 100:163-169, Jan 2013. [link]
  • B. Taati, M. Greenspan, Local shape descriptor selection for object recognition in range data, CVIU, 115(5):681-694, May 2011. [link]
  • B. Taati, A. M. Tahmasebi, and K. Hashtrudi-Zaad, Experimental identification and analysis of the dynamics of a PHANToM Premium 1.5A haptic device, Presence, 17(4):327-343, 2008. [link (PDF)]