Dave Keeley, Electronic Caregiver, Inc. Michael Busa, UMass Amherst. This research project will enhance Electronic Caregiver's Addison Care system with computer vision methods for evaluating functional strength, stability, and falls risk in older adults.
Erik Page, Blue Iris. The Blue Iris Labs pilot study investigated how personal light exposure affects sleep quality using a new wearable light sensor called the Speck.
Ryan Gooch, TellUs You Care. Rebecca Spencer, UMass Amherst. This study will test Tellus's machine learning algorithms for tracking physiological and behavioral status using data from Tellus' radar device.
Robert Hager, Preveal Technologies, Inc. Hassan Ghasemzadeh, ASU. The Preveal pilot project focused on developing an in-home cognitive improvement system using EEG-based neurofeedback (EEG-NFB) to monitor and enhance working memory in older adults.
James Mastrianni, The University of Chicago. Josh Kim, Adiona Health. This project seeks to validate a novel machine learning technique that analyzes motion data from an accelerometer in an Apple Watch to identify the onset of an agitation episode in a person with ADRD.
Title: A Digital Biometric Approach to Reducing Hospital Admissions for Underserved Older Adults with COPD Authors: Jennifer Williams, Ahmed Taha, Stephanie Poon
Title: Detection of Falls and Other Health Events Using Sound, Activity monitoring and Machine Learning Authors: Richard Watkins, Sebastian Jastrzębski, David Watkins