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sMAP CREATE Virtual Public Symposium 2021
June 17, 2021 @ 12:00 pm - 4:45 pm
sMAP CREATE Virtual Public Symposium 2021 Program
Thursday, June 17th, 2021, 12:00pm – 4:45PM @ ZOOM
(Meeting Confirmation with details will be sent out upon registration.)
Register via Zoom @ https://mcmaster.zoom.us/meeting/register/tJEqdu6gqD0sE9HSoBd_dX08g_OwULzA9UkG
AGENDA
12:00-12:10 Opening Remarks Dr. Rong Zheng
12:10-1:10 Keynote Dr. John A Stankovic “The Internet of Healthcare Things”
1:10-1:40 Dr. Dylan Kobsar “Innovations in Human Movement Analyses with Wearable Technology and Machine Learning”
1:40-2:10 Dr. Celine Latulipe “Older Adults, Close Others and Password Sharing”
2:10-2:20 BREAK
2:20-2:35 Abu Ilius Fasisal “Wearable Sensors-based Remote Monitoring of Lower-limb Joints for Assessing and Improving Mobility in the Older Adults”
2:35-2:50 Jessica Rauchberg “Crip Technoscience and Co-Design: Justice-Informed Approaches to Communicating Health, Aging, and Technology”
2:50-3:05 Yujiao Hao “Wearable Sensor-Based Human Activity Recognition and Data Simulation”
3:05-3:20 Guha Ganesh “Bluetooth Low Energy based Indoor Presence Detection System for Smart Homes”
3:20-3:35 Zaryan Masood “Tracking Real-World Changes in Osteoarthritic Gait Patterns Following Intra-Articular Corticosteroid Injections”
3:35-3:50 Xijian Lou “IMU-Based 3D Knee Joint Kinematics Estimation with a Deep Learning Approach”
3:50-4:05 Sophini Subramaniam “Insole-based Sensor Systems for Health Monitoring “
4:05-4:45 SOCIAL EVENT: “This is JEOPARDY!”
SPEAKER BIOS
Dr. John A. Stankovic
Department of Computer Science | University of Virginia
Abstract: Is the Internet of Healthcare Things (IOHT) hype or on the cusp of a healthcare revolution? We argue that wearables, in-situ sensors, signal processing, machine learning, natural language processing, and the Internet are providing the technological backbone to achieve a true revolution in healthcare. Many challenges remain due to numerous factors including the complexities of human health and the realisms of deployment of the technology especially for the elderly. This talk describes our progress towards establishing an ambient intelligence for healthcare via wearable based cognitive assistants. Descriptions of several wearable and conversational based apps that support taking medications, exercising, and quality of handwashing will be presented. Voice will be a major modality for this coming revolution. We present a solution for detecting emotion via speech even at significant distances from a microphone. We also present a novel bi-directional LSTM with Multiple Instance Learning for detecting anxiety from speech.
Brief Bio: Professor John A. Stankovic is the BP America Professor in the Computer Science Department at the University of Virginia and Director of the Link Lab. He is a Fellow of both the IEEE and the ACM. He has been awarded an Honorary Doctorate from the University of York, U.K., for his work on real-time systems. He won the IEEE Real-Time Systems Technical Committee’s Award for Outstanding Technical Contributions and Leadership. He also received the IEEE Technical Committee on Distributed Processing’s Distinguished Achievement Award (inaugural winner). He has a test of time paper award, 8 Best Paper awards, including one for ACM SenSys 2006. Stankovic has an h-index of 120 and over 68,000 citations. In 2015 he was awarded the Univ. of Virginia Distinguished Scientist Award, in 2010 the School of Engineering’s Distinguished Faculty Award, and in 2020 the UVA Faculty Mentor Award. He also received a Distinguished Faculty Award from the University of Massachusetts. He has given more than 40 Keynote talks at conferences and many Distinguished Lectures at major Universities. His research interests are in real-time systems, wireless sensor networks, smart and connected health, smart cities, cyber physical systems, and the Internet of Things. Prof. Stankovic received his PhD from Brown University.
Dr. Dylan Kobsar
Department of Kinesiology | McMaster University
Dr. Dylan Kobsar is an Assistant Professor of Neuromechanics in the Department of Kinesiology at McMaster University. His research program is focused on making human movement analyses more accessible and relevant for those with musculoskeletal injuries. Much of his work aims to utilize wearable technology to better understand the treatment responses and disease trajectories of individuals diagnosed with knee osteoarthritis.
Dr. Celine Latulipe
Department of Computer Science | University of Manitoba
Dr. Celine Latulipe is a Professor in the Department of Computer Science at the University of Manitoba, where she conducts research in the fields of Human-Computer Interaction and Computer Science Education. Her primary research focus involves understanding how older adults and their caregivers engage with technology and developing systems and tools to support a partnership model for the older adult’s digital life. Dr. Latulipe also conducts research in innovative curriculum and pedagogy for Computer Science and is particularly interested in how to support underserved populations learning computer science. A third area of interest is in developing and evaluating novel interaction techniques, creativity support tools and measurement, and the study of how people use complex software. Dr. Latulipe earned her PhD in Computer Science from the University of Waterloo in 2006 and spent 13 years as a faculty member at the University of North Carolina at Charlotte before returning to Canada in 2019.