Gerontechnology Projects
2017
Activity Learning (AL)
CIL-VIZ: Clinician-In-The-Loop Visualization Tool
Routine Change Detection Using Estimotes
Optimization of Day Out Task Prediction
Robotic Activity Support (RAS)
2015
Development and Usability Testing of a Digital Memory Notebook
Integration of Estimote Stickers into Smart Apartment Technology
A Personalized Prompting System
Usability Evaluation of Smart Home in a Box (SHiB)
Accelerometer Based Step Count Trackers, Are They Accurate Enough?
2014
Digital Memory Notebook: Experimental Evaluation of Motivational Reward Strategies
Multicomponent Analysis of a Novel Digital Trail Making Task
Using Inertial Sensors to Quantify Changes Exhibited During Rehabilitation
2013
Detecting Cognitive Decline Using Smart Home Technology
Using EEG and Machine Learning to Predict Action Goals from Data in the Human Mirror System
Development of a User-Friendly Interface Design
Machine learning Techniques for Diagnostic Differentiation of Mild Cognitive Impairment and Dementia
Predicting Activity Transitions for Prompting
2010
CASASviz: Smart Home Web-based Visualizer System for Care-giving
Emotion Recognition Using Emotiv Sensor
PUCK on a Smart Phone
Qualifying Tremor Severity in Parkinson's and Essnetial Tremor Patients
Cerebral Vascular Responsivity and Cognitive Performance in Younger and Older Adults
This program is funded by NIA grant R25AG046114 and is carried out as a collaborative effort between the Center for Advanced Studies in Adaptive Systems (CASAS) and the Department of Psychology at Washington State University.