School of EECS and Department of Psychology at Washington State University

NIH Training in Gerontechnology

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



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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.

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