Mobile Sensing and Computing Webinars

Registration: https://events.zoom.us/ev/AlHlWkhvdvhqx4q5OnjGTSaxHn_an48ZtKwUfSuuVmm_El6aC6LF~AuVtmoJ1Eufnk09HBV0piBoliVpb3u7qriA2tyEOV-2gQctk85QcKLm5jA Abstract: Older adults' needs and abilities are multidimensional and continuously changing, yet much of today’s AI focuses on detecting isolated events or predicting individual outcomes. Our work explores how AI can develop a richer understanding of older adults by integrating behavioral, emotional, functional, clinical, and environmental information. We investigate how subtle changes in emotional state can be inferred from multimodal behavior, how routinely collected clinical data can reveal meaningful patterns of intrinsic capacity, and how AI and robotics can translate this understanding into practical assistance. Across these efforts, we are also developing the data integration and validation infrastructure needed to make AI systems reliable, generalizable, and useful in real-world aging settings. Ultimately, our goal is to move from AI that simply observes older adults to AI that understands their changing needs and abilities…

https://www.youtube.com/watch?v=nxRdD0OHu1c Abstract: Digital phenotyping is transforming aging research by enabling high-frequency, real-world measurement of cognition, behavior, symptoms, and context through smartphones, wearables, and passive sensing technologies. This talk will review how digital health tools can complement traditional clinic-based assessments by capturing intraindividual variability, diurnal patterns, environmental influences, and subtle changes in cognitive and functional performance that may signal risk for neurodegenerative disease. Using examples from studies of healthy aging, MCI, Alzheimer’s disease risk, dementia caregiving, and related clinical populations, the talk will highlight best practices for designing digital phenotyping protocols, balancing participant burden with data richness, maximizing adherence, integrating active cognitive assessments with passive data streams and biomarkers, and applying analytic approaches that distinguish within-person change from between-person differences. The session will emphasize opportunities for digital phenotyping to improve early detection, clinical trial endpoints, remote…