Wearable Devices

CBB Researchers

CBB Researchers: Wearable Devices

Stories

"Disrupting traditional models of health care," Waterloo Magazine, Helen Chen, Plinio Morita, Fall 2017
"Knee, hip rehab made easier with Waterloo-developed system," CBC News, Dana Kulic, May 22, 2017
"Technology aims to improve physiotherapy outcomes using sensors and machine learning," Waterloo News, Dana Kulic, May 18, 2017
"Improving hockey and health with artificial intelligence," Computer Science News, Pascal Poupart, March 10, 2017
"Waterloo wins big with tiny power device," Engineering News, George Shaker, July 5, 2016
“Older adults step it up with fitness trackers, find Pharmacy researchers,” Pharmacy News, Kelly Grindrod, February 12, 2016
"Wearable technologies will improve stroke rehabilitation," Waterloo News, Bill McIlroy, August 19, 2015
"Data management in health care," CBB Researcher Story, Helen Chen, July 21, 2015
"Tiny technology to prevent the risk of skipping a beat or worse," Waterloo Engineering, Patricia Nieva, April 2015
"Change your phone while you shovel - and shiver," Waterloo Stories, Behrad Khamesee, March 2, 2014
"Finding your way after a stroke," Waterloo Stories, Bill McIlroy, February 4, 2014
"Smart tech for medical implants," Waterloo Stories, Armaghan Salehian, December 2, 2013
"An improved road to recovery," CBB researcher story, Dana Kulic, January 9, 2013
"The ability to be heard above the crowd," CBB researcher story, Sean Peterson, January 8, 2013

Press/Media

"Bill McIlroy - Kinesiology," Youtube, Bill McIlroy, November 11, 2016

Publications by CBB Researchers

W. Ngo, S. Srinivasan and L. Jones, "An Eyelid Warming Device for the Management of Meibomian Gland Dysfunction," Journal of Optometry, 2018.
van der Kooij H. et al. (2019) Symbitron: Symbiotic Man-Machine Interactions in Wearable Exoskeletons to Enhance Mobility for Paraplegics. In: Carrozza M., Micera S., Pons J. (eds) Wearable Robotics: Challenges and Trends. WeRob 2018. Biosystems & Biorobotics, vol 22. Springer, Cham
Mahzar Eisapour, Shi Cao, and Jennifer Boger. 2018. Game Design for Users with Constraint: Exergame for Older Adults with Cognitive Impairment. In The 31st Annual ACM Symposium on User Interface Software and Technology Adjunct Proceedings (UIST '18 Adjunct). ACM, New York, NY, USA, 128-130
Umay, I., Fidan, B., & Barshan, B. (2017). Localization and tracking of implantable biomedical sensors. Sensors, 17(3), 583.
Online learning of gait models for calculation of gait parameters. Waugh JL, Trinh A, Mohammed RR, McIlroy WE, Kulić D. In Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the 2016 Aug 16 (pp. 6146-6149). IEEE.
Joukov, V., Bonnet, V., Karg, M., Venture, G., & Kulić, D. (2018). Rhythmic Extended Kalman Filter for Gait Rehabilitation Motion Estimation and Segmentation. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(2), 407-418.
Um, T. T., Pfister, F. M., Pichler, D., Endo, S., Lang, M., Hirche, S., ... & Kulić, D. (2017, November). Data augmentation of wearable sensor data for parkinson’s disease monitoring using convolutional neural networks. In Proceedings of the 19th ACM International Conference on Multimodal Interaction (pp. 216-220). ACM.
Joukov, V., Lin, J. F. S., & Kulić, D. (2017, September). Generalized Hebbian algorithm for wearable sensor rotation estimation. In Intelligent Robots and Systems (IROS), 2017 IEEE/RSJ International Conference on (pp. 2248-2253). IEEE.
Um, T. T., Babakeshizadeh, V., & Kulić, D. (2017, September). Exercise motion classification from large-scale wearable sensor data using convolutional neural networks. In Intelligent Robots and Systems (IROS), 2017 IEEE/RSJ International Conference on (pp. 2385-2390). IEEE.
Haider, F., & Shaker, G. (2017, July). Wearable-free wireless fall detection system. In Antennas and Propagation & USNC/URSI National Radio Science Meeting, 2017 IEEE International Symposium on (pp. 2457-2458). IEEE.
Khan, S. S., & Hoey, J. (2017). Review of fall detection techniques: A data availability perspective. Medical engineering and physics, 39, 12-22.
Drover, D., Howcroft, J., Kofman, J., & Lemaire, E. D. (2017). Faller Classification in Older Adults Using Wearable Sensors Based on Turn and Straight-Walking Accelerometer-Based Features. Sensors, 17(6), 1321.
Howcroft, J., Kofman, J., & Lemaire, E. D. (2017). Feature selection for elderly faller classification based on wearable sensors. Journal of neuroengineering and rehabilitation, 14(1), 47.
Howcroft, J., Kofman, J., & Lemaire, E. D. (2017). Prospective fall-risk prediction models for older adults based on wearable sensors. IEEE transactions on neural systems and rehabilitation engineering, 25(10), 1812-1820.
Beltrame, T., Amelard, R., Wong, A., & Hughson, R. L. (2017). Extracting aerobic system dynamics during unsupervised activities of daily living using wearable sensor machine learning models. Journal of Applied Physiology, 124(2), 473-481.
Rehman, U., & Cao, S. (2017). Augmented-reality-based indoor navigation: a comparative analysis of handheld devices versus google glass. IEEE Transactions on Human-Machine Systems, 47(1), 140-151

CBB Researchers

Stories

Press/Media

Publications by CBB Researchers

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