Posts sorted by ExpMotion
Agarwal, A., Wallace, B., Goubran, R., Knoefel, F., Thomas, N., “Walking Gait Speed Measurement Using Privacy Respecting AI Enabled Visual Sensor”, 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, “Evaluating changes in gait and activity associated with cognitive impairment using a home-based technology platform”, Alzheimer's Association International Conference (AAIC 2021).
I. Joudeh, A. Cretu, B. Wallace, R. Goubran, A. Allegue-Martinez, F. Knoefel, “Location Independence in Machine Learning Classification of Sitting-Down and Standing-Up Actions using Wi-Fi Sensors”, 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021.
Agarwal, A., Wallace, B., Ault, L., Larivière-Chartier, J., Knoefel, F., Goubran, R., Kaye, J., Beattie, Z., Thomas, N., “Using Zigbee Sensors to Measure Human Behaviour – Analytical Considerations”, 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., “Exploiting Wi-Fi Channel State Information for Artificial Intelligence-Based Human Activity Recognition of Similar Dynamic Motions”, M.A.Sc. Thesis, Carleton University, 2020.
L. Ault, B. Wallace, R. Goubran, S. Fraser, E. Stroulia, F. Knoefel, “Preliminary Results from Longitudinal Balance Assessment for Older Adults with Cognitive Decline”, 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, “WiFi Channel State Information-Based Recognition of Sitting-Down and Standing-Up Activities”, 2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2019.
I. Joudeh, A. Cretu, B. Wallace, R. Goubran, “Recognition of Sitting-down and Standing-up Activities using WiFi Channel State Information”, Carleton 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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