Events

https://www.youtube.com/watch?v=8mXoTsgEd-I Abstract: Beginning in infancy, individuals acquire the social and communication skills that are vital for a healthy and productive life. Children with autism face great challenges in acquiring these skills, resulting in substantial lifetime risks. As the neural basis for ASD is unclear, the diagnosis, treatment, and study of autism depends fundamentally on the analysis of child behavior. Standard methods for behavioral observation and coding are the backbone of research studies but are inherently coarse-grained and not easily scalable. In this talk I will present our research agenda that uses AI models and computer vision technology to automate the measurement of social behavior from video. Our goal is to unlock the rich behavioral information that is present in video and make it available for large-scale data-driven modeling and assessment. I will present several recent…

https://www.youtube.com/watch?v=0dpRR_cDPPs Abstract:  This webinar explores regulatory strategies for bringing AgeTech devices and AI innovations to market under FDA oversight. Panelists provided an overview of FDA pathways, including 510(k), De Novo, and Pre-Market Approval (PMA), highlighting how device classification and intended use shape regulatory requirements. Discussion emphasized unique challenges for software as a medical device (SaMD), clinical decision support (CDS) tools, and AI/ML-enabled technologies, including validation standards and cybersecurity mandates. Speakers underscored the importance of aligning regulatory strategy with business models and offered guidance on leveraging Pre-Submission processes and breakthrough device designation to accelerate approval. Real-world insights from wearable device development illustrated the complexities of clinical validation, reimbursement planning, and risk-based regulation.You will gain practical knowledge on navigating FDA processes to responsibly develop and deploy AgeTech innovations for older adults. About the Speakers:  Ameet Sarpatwari, PhD,…

https://youtu.be/glSoPDySruI?si=3vaFP2iwT9eKCDN2 Abstract: Despite the rapid advancement of AI, computers' ability to comprehend human behaviors remains limited. For instance, commodity computing devices still face challenges in understanding even basic human daily activities such as eating and drinking. The primary obstacle lies in the absence of suitable sensing technologies capable of capturing and interpreting high-quality behavioral data in everyday settings. In this presentation, I will share my research on the development of everyday wearables that are minimally-obtrusive, privacy-aware, and low-power, yet capable of capturing and comprehending various body movements and poses that humans employ in their everyday activities. First, I will show how these sensing technologies can empower various everyday wearable form factors, including wristbands, necklaces, earphones, headphones, and glasses, to track essential body postures, such as facial expressions, gaze, finger poses, limb poses, as well as…

https://www.youtube.com/watch?v=kUKKp4Fazno&t=3s&pp=ygUNYTIgY29sbGVjdGl2ZQ%3D%3D Abstract: This talk introduces curiosity-driven research that explores science and technology to build the next generation of ear-worn computer systems that are robust, sustainable, cost-effective, low-burden, and socially acceptable, thereby unlocking new applications in human-computer interaction and brain-computer interface. Yet, the development of these systems brings significant challenges, demanding a rethinking of hardware and software frameworks, advanced ML algorithms, and significant interdisciplinary efforts. I will present our approaches to fill the gaps and build practical ear-worn computers, highlighted by motivating applications our lab has worked on: interactive computing and disease monitoring and intervention. Additionally, I will share insights gained from deploying these systems in various real-world settings and discuss future research directions.  Biography: VP Nguyen, PhD, Assistant Professor, Department of Computer Science at the Manning College of Information & Computer Science at UMass Amherst…