Expertise: Machine Learning / Data Analytics / Deep Learning / AI
SAM3 Expertise Areas: Machine Learning / Data Analytics / Deep Learning / Artificial Intelligence
SAM3 researchers have expertise in many advanced analytics methods that allow for the processing of large data sets or complex sensor data. Through these methods, vast arrays of sensor and other data are analyzed to determine knowledge and information that can be communicated to the older adult leading to action.
Analytics Expertise Areas
- Applications to: Video analysis, Audio and acoustic analysis, Smart home sensor fusion, Driving Assessment
- Methods: Machine Learning, Deep Learning, Artificial Intelligence including supervised and unsupervised learning
- Big data analysis including datasets >1TB
- Processing models including cluster and GPU assisted methods
B. Laska, B. Chimehi, P. Masson, Bruce Wallace, H. Sveistrup, R. Goubran. 鈥淩eference-Free Estimation of Speech Recognition Error Rates via Cross-Model Concordance.鈥 2026 IEEE International Instrumentation Measurement Technology Conference (I2MTC), 2026,
Sloan, Thomas 鈥淚ndoor 3D Modeling Using Consumer Drones and Neural Simultaneous Localization and Mapping (SLAM) for Virtual Reality鈥 MASc diss., 杏吧原创 University, 2024.
IEEE Video Tutorial: 鈥淭he Supportive Smart Home: Solutions Enabling Independence 鈥 Ambient Sensing, Artificial Intelligence in Ethical Context鈥
K. Van Benthem, B. Wallace, L. McCauley, J. Keillor, S. Marshall, F. Knoefel, T. Friedman, and C. Herdman, 鈥淧rofiles of Mature Drivers and Their Trust in Telematics鈥態ased Safety Technologies鈥, ISG 2026
B. Chimehi, J. Larivi猫re-Chartier, B. Wallace, L. Ault, F. Knoefel, J. Kaye, Z. Beattie, J. Steele, L. Anderson, N.Thomas, 鈥淒igital Signatures of Caregiver Burden: Machine Learning Classification Using Multimodal In-Home Sensor Data鈥, ISG 2026
S. Shafiyan, K. Fraser, F. Knoefel, N. Thomas, M. Kunz, B. Wallace, R. Goubran, A.a Zumbansen, 鈥淩evisiting the Cookie Theft Picture for Cognitive Impairment: Assessing Its Relevance for Discourse Analysis After Four Decades鈥, at Alzheimer鈥檚 Association International Conference (AAIC), 2025.
McCauley, L., Benthem, K. V., Herdman, C., Wallace, B., Keillor, J., Goubran, R., Knoefel, F., & Marshall, SM, 鈥淐ommunicating increased driving risk: A study of mature driver expectations鈥, at Alzheimer鈥檚 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. 鈥淚dentifying Mature Driver Risk from Naturalistic Driving鈥, at Alzheimer鈥檚 Association International Conference (AAIC), 2025.
W. Sloan, B. Wallace, R. Goubran, H. Sveistrup, 鈥淚mproved Activity Recognition Through Fusion of Earable Pairs鈥 at IEEE Medical Measurement and Applications Symposium (MeMeA 2025), 2025
M. Kunz, K. Fraser, B. Wallace, F. Knoefel, R. Goubran, S. Shafiyan, N. Thomas 鈥淎ddressing Age Bias in the Application of Appearance-Based Gaze-Tracking for Older Adults鈥, IEEE/CVF Winter Conference on Applications of Computer Vision, 2025.
(Best Paper Award)
W. Sloan, B. Wallace, R. Goubran, H. Sveistrup, 鈥淐ross-Body Transfer Learning for Human Activity Recognition鈥 at 2025 IEEE International Instrumentation Measurement Technology Conference (I2MTC), 2025
Pioneering Voice AI with 杏吧原创 University
Story by partner company Edge Signal about the work we have done with them within a SAM3 SME Support for Aging in Place Technology project. …