Automatically Generating Interesting Events with LifeJoin

Alvin Cheung, Arvind Thiagarajan, Samuel Madden

Proceedings of SenSys 2011

Abstract

This demo will showcase LifeJoin, a system that collects raw sensor data from phones and laptop computers to generate interesting events. Given the raw sensor data, LifeJoin implements a number of activity recognition algorithms to generate higher-level events. Furthermore, it uses supervised learning techniques to learn from users' feedback to generate only events of interest. In this demo, the audience will get to interact with the LifeJoin system and be able to examine the internals of LifeJoin.

Download

[demo paper]

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