A Machine for Living In

This project embeds intelligent systems in domestic space to study the home as a site of intimate life. Machine observers (video and audio) monitor inhabitants as they occupy the space. Wireless sensors track concrete physical interactions with the house and its objects: doors opening, cups and bowls in use, showers taken. Using sensor fusion and machine learning techniques, the house becomes an observing instrument. I address the home, its inhabitants, and the relationships within as networks of communication and exchange. Where do cybernetic descriptions and systems analyses lose their traction in engagement with the concrete reality of daily existence? Where do they succeed? The work on this dissertation project will be completed by Spring 2017.

Site Survey
Sensing Points
Front Door Sensor
Sensor Logs
Bedroom Flatpanel
Voice Activity Detection
Speech Spectograph