The WISDM (WIreless Sensor Data Mining) Project

Brief Project Overview

In this project we will collect and mine sensor data from these wireless devices. The scope of this project is enormous and there will be many opportunities for us to make an impact on how these smart mobile devices are used. Our initial focus was mainly on mining the accelerometer data, for tasks such as biometric identification and activity recognition (summarized below), but while we are continuing on in that area, we are now also actively looking into mining other sensor data, such as GPS data. Much of our focus right now, however, is in implementing the software architecture to transfer the sensor data from cellphones to our web-based server. Our initial platform will be based on the phones running Google's Android operating system (Nexus One, HTC Hero, Motorola Droid and Backflip, etc.). Our view is that these easy to program phones will eventually dominate the market.

Our preliminary work, which was based on a research oriented mobile device from Sun Microsystems, showed that we could accurately and reliably:

• Identify a user or verify the identify of a user based on his/her accelerometer data (behavioral biometric identfication)
• Identify the physical task that a user is performing (e.g., walking, jogging) based on the acceleromeer data (activity recognition)

Stay tuned for our exciting results! We expect to release some research papers that we are writing in the summer of 2010.

This project overlaps with a related project that is jointly being conducted with Dr. Warren Tryon from the Psychology department. While the WISDM project is quite general and spans all potential data mining applications of all forms of wireless sensor data, the project with Dr. Tryon focuses mainly on the accelerometer data and health care applications, leveraging Dr. Tryon's work on actigraphy.

Meeting Times

Current Project Participants