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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

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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

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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

   

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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

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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.

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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.

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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.