Posts sorted by ExpMotion
Agarwal, A., Wallace, B., Goubran, R., Knoefel, F., Thomas, N., 鈥淲alking Gait Speed Measurement Using Privacy Respecting AI Enabled Visual Sensor鈥, 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2022.
N. Thomas, A. Agarwal, L. Ault, J. Lariviere-Chartier, L. Kingstone, B. Wallace, F. Knoefel, R. Goubran, Z. Beattie, J. Kaye, 鈥淓valuating changes in gait and activity associated with cognitive impairment using a home-based technology platform鈥, Alzheimer's Association International Conference (AAIC 2021).
I. Joudeh, A. Cretu, B. Wallace, R. Goubran, A. Allegue-Martinez, F. Knoefel, 鈥淟ocation Independence in Machine Learning Classification of Sitting-Down and Standing-Up Actions using Wi-Fi Sensors鈥, 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021.
Agarwal, A., Wallace, B., Ault, L., Larivi猫re-Chartier, J., Knoefel, F., Goubran, R., Kaye, J., Beattie, Z., Thomas, N., 鈥淯sing Zigbee Sensors to Measure Human Behaviour 鈥 Analytical Considerations鈥, 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021.
Sheehy, L., Taillon-Hobson, A., Finestone, H., Bilodeau, M., Yang, C., Hafizi, D., & Sveistrup, H. (2020). Centre of pressure displacements produced in sitting during virtual reality training in younger and older adults and patients who have had a stroke. Disability and Rehabilitation: Assistive Technology, 15(8), 924-932.
Joudeh, Itaf O., 鈥淓xploiting Wi-Fi Channel State Information for Artificial Intelligence-Based Human Activity Recognition of Similar Dynamic Motions鈥, M.A.Sc. Thesis, 杏吧原创 University, 2020.
L. Ault, B. Wallace, R. Goubran, S. Fraser, E. Stroulia, F. Knoefel, 鈥淧reliminary Results from Longitudinal Balance Assessment for Older Adults with Cognitive Decline鈥, 2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2019.
I. Joudeh, A. Cretu, B. Wallace, R. Goubran, A. Alkhalid, M. Allegue-Martinez, F. Knoefel, 鈥淲iFi Channel State Information-Based Recognition of Sitting-Down and Standing-Up Activities鈥, 2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2019.
I. Joudeh, A. Cretu, B. Wallace, R. Goubran, 鈥淩ecognition of Sitting-down and Standing-up Activities using WiFi Channel State Information鈥, 杏吧原创 Data Day 6.0 Symposium, 2019.
Kennedy, M. J., Arcelus, A., Guitard, P., Goubran, R. A., & Sveistrup, H. (2015). Toilet grab-bar preference and center of pressure deviation during toilet transfers in healthy seniors, seniors with hip replacements, and seniors having suffered a stroke. Assistive Technology, 27(2), 78-87.
Ren, Z., Grant, T., Goubran, R., El-Tanany, M., Knoefel, F., Sveistrup, H., ... & Jutai, J. (2014, August). Analyzing center of pressure progression during bed exits. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 1786-1789). IEEE.
Grant, T., Joshi, V., Taylor, M., Knoefel, F., Sveistrup, H., Bilodeau, M., & Jutai, J. (2014, June). Measuring sit-to-stand timing variability over time using under mattress pressure sensor technology. In 2014 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (pp. 1-5). IEEE.
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