The University of Massachusetts Amherst

Outcome Monitoring

Research Outcome Monitoring tailors the activities used for the evaluation and validation of various sensor technologies to the specific needs of wearable activity sensor industry. This provides high value to industry partners through evidence-based results about the quality of activity tracker accuracy and can offer solutions for improvements in accuracy of such devices along with the development of the algorithms to interpret and apply the data the sensors produce. Research on the human interface will develop algorithms to translate sensor signals into meaningful and biologically valid output for clinical applications and to determine the functionality and wearability of sensor designs. User testing will determine how the brain, muscles, bones, and supporting structures and systems are impacted by different perturbations. Evaluation of prototype sensors and comparison to commercial benchmarks to establish data on effectiveness and usability. Iterate through Clusters 1-3 for platform optimization in terms of non-invasiveness and functionality.
Sunghoon Lee
Steering Committee
Rebecca Spencer
Cognition and action and the intersection between them
Steering Committee
Katherine Boyer
Gait mechanics, neuromuscular function, joint injury and degeneration
Wayne Burleson
Personalized Health Monitors, Security and Privacy in Health Care
Stuart Chipkin
Diabetes, metabolism, endocrinology, cardiovascular risk, public health
Katherine Dixon-Gordon
Biological, cognitive, and affective dysfunction in psychopathology
Xian Du
engineering, scale up of advanced manufacturing processes from lab to industry
Elizabeth A. Henneman
Patient safety, eye-tracking, nurse/MD decision-making
David E. Huber
Recognition/recall memory, testing effects, metamemory, letter/word perception
Mark Miller
Skeletal muscle function at the cellular and molecular levels
Rebecca Ready
Aging, emotion, neuropsychology, well-being, cognitive impairment
John Sirard
Measurement and promotion of youth physical activity, wearable sensors, influence of social and phys
Adrian Staub
Language processing; reading; eye movements; computational models of cognition
John Staudenmayer
Statistical methods to estimate physical activity
Catrine Tudor-Locke
Walking, gait speed, personal monitoring, step counting, ambulation