Wearables and Virtual Reality Webinars

https://www.youtube.com/watch?v=BcBlsqpNYeg Abstract: Light exposure is the primary regulator of human circadian rhythms, influencing many aspects of our physiology and behavior, including sleep, alertness, and mood, as well as many neuroendocrine and cognitive functions. While we have evolved experiencing “bright days and dark nights,” most of us now experience significantly darker days and brighter nights than our pre-modern ancestors, likely resulting in widespread circadian disruption. And as we age, the relationship between light exposure, circadian rhythms, and sleep can be further compromised both through normal aging (e.g., less light reaching the retina due to clouding of the lens) and age-related risk factors, such as Alzheimer’s Disease (AD), which is known to damage the brain’s master clock. This webinar will review the current science related to light exposure, circadian rhythms, and sleep, looking at aging and AD…

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…