Title

Exploiting Affordances in Monitoring a Smart Home

Student Classification

Junior

Faculty Mentor

Dr. Albert Esterline

Department

Computer Science

Document Type

Poster

Publication Date

Fall 2019

Abstract

The Internet of Things (IoT), where internet connections are extended to every-day objects, enables collaboration, monitoring, and remote control. An IoT can make a home smart at least in the sense that those in it can be monitored. The question arises of how much and what kind of data are needed to monitor a person as they move about a smart home. This paper focuses on affordances, manifest possibilities for action provided by the environment (e.g., the appearance of a doorknob). Our thesis is that, since the same things are affordances for the monitored and monitoring persons, a little data goes a long way in monitoring a subject’s interaction with affordances. This paper describes a scaled-down model of a floor in a smart home equipped with only passive infrared (PIR) motion sensors where nevertheless the data allows high-level interpretation of the subject’s activities on that floor.

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