An Interactive Visualization Toolkit for Exploring Ambient-Assistive Living Traces
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Abstract
The Smart-Condo™ project investigates how technology can be used to unobtrusively observe and support seniors to live independently in their homes longer. Sensors embedded in the environment react to the people’s daily-living activities and the recorded readings are analyzed to recognize these activities, as well as to infer whether they are typical or exceptional. In this thesis, we present a visualization system for analyzing and exploring the sensor data recorded in the Smart Condo, and more generally "smart homes". The purpose of the system is to support caregivers in easily perceiving the activities of the Smart-Condo™ occupants; therefore, our toolkit offers a variety of visualizations, including spatio-temporal dynamic activity views and aggregate activity statistics graphs.
