Expertise: Sensor Data Fusion
SAM3 Expertise Areas: Sensor Data Fusion
Many aspects of assessment for supporting aging and independence requires the fusion of knowledge from many diverse sensors and technologies. This fusion of sensor knowledge can lead to higher levels of assessment and function.
Fusion Applications
- Supportive Smart Homes
- Feedback and reporting systems
- Longitudinal assessment
- Wandering and other cognitive assistance
B. Chimehi, J. Larivière-Chartier, B. Wallace, L. Ault, F. Knoefel, J. Kaye, Z. Beattie, J. Steele, L. Anderson, N.Thomas, “Digital Signatures of Caregiver Burden: Machine Learning Classification Using Multimodal In-Home Sensor Data”, ISG 2026
Select A. Laghai, S. Shafiyan, N. Thomas, M. Kunz, K. Fraser, B. Wallace, R. Goubran, F. Knoefel, “Can Gaze–Speech Coupling in Reading Help Clinicians Detect Cognitive Decline Remotely?” ISG 2026 A. Laghai, S. Shafiyan, N. Thomas, M. Kunz, K. Fraser, B. Wallace, R. Goubran, F. Knoefel, “Can Gaze–Speech Coupling in Reading Help Clinicians Detect Cognitive Decline Remotely?” ISG 2026
Bruce Wallace, Phillippe Forster, Rafik Goubran, Heidi Sveistrup, William Jones, Thomas Fletcher “Small ECG Device Dry Electrode Lead Analysis to Ensure ECG Signal Quality’, AGEWELL AGM, 2025
S. Shafiyan, K. Fraser, F. Knoefel, N. Thomas, M. Kunz, B. Wallace, R. Goubran, A.a Zumbansen, “Revisiting the Cookie Theft Picture for Cognitive Impairment: Assessing Its Relevance for Discourse Analysis After Four Decades”, accepted at Alzheimer’s Association International Conference (AAIC), 2025.
N. Thomas, MD, J. Larivière-Chartier, B. Chimehi, R. Dey, L. Ault, B. Wallace, F. Knoefel, J. Kaye, Z. Beattie, L. Sheehy, J. Steele, L. Miller, “Using Machine Learning to Identify Features from Home Sensors that Predict Care Partner Burden”, accepted at Alzheimer’s Association International Conference (AAIC), 2025.
McCauley, L., Benthem, K. V., Herdman, C., Wallace, B., Keillor, J., Goubran, R., Knoefel, F., & Marshall, SM, “Communicating increased driving risk: A study of mature driver expectations”, accepted at Alzheimer’s Association International Conference (AAIC), 2025.
Nasr, M. S. E., Masson, P., Wallace, B., A., Benthem, K. V., Herdman, C., Keillor, J., Goubran, R., Knoefel, F., & Marshall, SM. “Identifying Mature Driver Risk from Naturalistic Driving”, accepted at Alzheimer’s Association International Conference (AAIC), 2025.
A. Laghai B. Wallace, K. C. Fraser, M. Kunz, F. Knoefel, R. Goubran, S. Shafiyan, N. Thomas, “Preliminary Results for Measurement of Eye Fixation and Speech to Identify Cognitive Decline” accepted at IEEE Medical Measurement and Applications Symposium (MeMeA 2025), 2025
T. Sloan, B. Wallace, R. Goubran, “System for Drone Based Indoor Mapping for Augmented Reality” accepted at 2025 IEEE International Instrumentation Measurement Technology Conference (I2MTC), 2025
P. Forster, B. Laska, R. Goubran, B. Wallace, P. Liu, H. Sveistrup, “Method for the Measurement of the Dicrotic Notch in the Photoplethysmogram Signal” accepted at 2025 IEEE International Instrumentation Measurement Technology Conference (I2MTC), 2025
N. Thomas, B. Chimehi, J. Lariviere-Chartier, L. Ault, B. Wallace, Z. Beattie, L. Sheehy, J. Steele, L. Miller, “Assessment of Weekly Fluctuations in Zarit Burden Interview Scores in Caregivers of Individuals with Cognitive Impairment” Alzheimer’s & Dementia: the journal of the Alzheimer’s Association Volume 20 Pages e092292, 2024
Link to paper
Lochbihler, Aidan “Methods for Classifying Driver Engagement in Autonomous Vehicles Using Physiological Sensors.” MASc diss., Carleton University, 2024.
Link to Thesis