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A. Lochbihler, B. Wallace, K. Van Benthem, C. Herdman, W. Sloan, K. Brightman, J. Goheen, F. Knoefel, S. Marshall, “Assessing Driver Task Engagement Through Machine Learning Classification of Physiological Response” 2023 IEEE Sensors Applications Symposium (SAS), 2023.

B. Chimehi, B. Wallace, “Decision Tree Machine Learning to Determine Direction of Steering Force for Hospital Bed Push Handle System”, 2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2023.

A. Lochbihler, B. Wallace, K. Van Benthem, C. Herdman, W. Sloan, K. Brightman, J. Goheen, F. Knoefel, S. Marshall, “Assessing Driver Engagement Through Machine Learning Classification of Physiological Measures”, 2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2023.

B. Chimehi, B. Wallace, “Machine Learning to Determine Handle Force and Direction Using Strain Gauge Measurements”, 2023 IEEE International Instrumentation Measurement Technology Conference (I2MTC), 2023.

S. Almhairat, B. Wallace, J. Larivière-Chartier, A. El-Haraki, R. Goubran, F. Knoefel, “Maintaining Synchrony of Dual Machine Learning: A Phase-Locked Loop Approach” 2022 IEEE Sensors Applications Symposium (SAS), 2022

Yassin Kassab, L., Law, A., Wallace, B., Larivière-Chartier, J., Goubran, R. Knoefel, F., “Effects of Lighting and Window Length on Heart Rate Assessment through Video Magnification” 2022 IEEE Sensors Applications Symposium (SAS), 2022

Yassin Kassab, L., Law, A., Wallace, B., Larivière-Chartier, J., Goubran, R. Knoefel, F., “The Effect of Noise on Contactless Heart Rate Measurement using Video Magnification”, 2022 IEEE International Instrumentation Measurement Technology Conference (I2MTC), 2022.

S. Almhairat, B. Wallace, J. Larivière-Chartier, A. El-Haraki, R. Goubran, F. Knoefel, “Network Effects on Dual Machine Learning Models Predicting Smart Home Sensor Measurements”, 2022 IEEE International Instrumentation Measurement Technology Conference (I2MTC), 2022.

Yassin Kassab, L “Heart Rate Detection using Video Magnification: Impact of Algorithmic Parameters and Noise”, M.A.Sc. Thesis, Carleton University, 2022.

Valdés, J., Xi, P., Cohen-McFarlane, M., Wallace, B., Goubran, R. Knoefel, F., “Analysis of cough sound measurements including COVID-19 positive cases: A machine learning characterization”, 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 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.

Yassin Kassab, L., Law, A., Wallace, B., Larivière-Chartier, J., Goubran, R. Knoefel, F., “Effects of Region of Interest Size on Heart Rate Assessment through Video Magnification”, 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021.

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