Event Time: 09:00 -
Event Location: OHSU's Mac Hall Marquam Room
9:00 – 9:30 Meet and greet
9:30 -10:10 Diane Cook, PhD, Huie-Rogers Chair Professor in the School of Electrical Engineering and Computer Science at Washington State University
Smart Environments: Artificial Intelligence at Home and Beyond – PDF of Presentation
As world populations change, age, and grow, scientists are designing smarter technologies to meet our rapidly expanding needs. Smart environments is one such emerging field which draws on advances in pervasive and mobile computing as well as artificial intelligence and machine learning. At Washington State University, we are creating smart environments that can reason as intelligent agents to enhance our quality of life and to promote functional independence for older adults. With these technological advances comes the proliferation of sensor data that smart environments generate. Artificial intelligence and machine learning algorithms can help make sense of sensor data. We will examine AI and machine learning solutions that we have developed to tackle the challenges of characterizing, analyzing, labeling, and employing sensor data in smart environments. We will discuss how we are employing these solutions to provide smart environment-based health monitoring, assessment, and interventions.
10:10-10:25 Break
10:25-11:00 Scott Hofer, PhD, Professor, Human Development and Family Sciences at Oregon State University
Evaluation of a Web-Based Cognitive Assessment Battery in a Community Setting
Dr. Hofer will present the results from his ORCATECH pilot project to evaluate a measurement protocol that will form the basis for future research aimed at assessing and modeling intra-individual aging-related dynamics among cognition, health, and stress. A central aim of this research is to establish a feasible protocol for sustained assessment within a home or institutional setting that can provide stable estimates of within-person performance. Future research will require intensive measurements of individual behavior and physiology over long periods of time in order to permit sensitive detection of change from an individual’s normative performance. This pilot work will provide evidence for the feasibility of such a study for individuals with and without existing computers in their homes and evaluate the validity of potentially less controlled cognitive assessments in home settings. Building on our previous research, our approach for assessment is based on the measurement burst design, permitting statistical decomposition of learning and decay functions that overlay normative aging. This design for identifying critical changes in an older adult’s performance may lead to improved and earlier diagnosis of cognitive difficulty.
11:00 – noon Discussion led by Misha Pavel, PhD, Professor, Department of Biomedical Engineering and Department of Computer Science and Electrical Engineering, Director of the Point of Care Lab, Oregon Health and Science University
Most of our efforts to date have been focused on continuous measurements for the purpose of clinical assessment. The same measurements, however, are useful to detect events and actions that may occur infrequently, but would be useful to detect for the propose of care giving. For example, the detection of accidentally leaving the stove on, falls, near-falls, etc. We would like to spend this time to brainstorm about such rare but important events, their detection, recognition and mitigation.
Noon – 1 pm Networking lunch
DIRECTIONS to OHSU Main Campus – MacCafe at Mac Hall:
It is easiest to carry the attached map and walk the exterior as opposed to walking through Mac Hall or other buildings, as this gets confusing with multiple levels. Follow the posted signs to MacCafe. MacCafe is the large conference room adjoining the Mac Hall Cafeteria. Please call Jessica if you need any assistance: 971-678-2338.