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I am currently co-leading
the Everyday Sensing and Perception (ESP) project. The goal of ESP is to
develop a system that can infer a user’s context with 90% accuracy
over 90% of their day. The specific contexts we are investigating are
location (absolute and symbolic), activity (physical and object based) and
social interaction (role, speaker identification, etc). To reach a high
level of coverage, the ESP research approach is to employ sensors
integrated into a user’s mobile devices to sense their environment
and how they interact with it. ESP intends to investigate both low data
rate sensors (RFID tags, accelerometers, radio scans) as well as high-data
rate sensors like video.
Past Projects
- Place Lab
The goal of the Place Lab project was to build a privacy-observant
indoor/outdoor location system for commodity laptops, cell phones and
PDAs.
- PlantCare
The PlantCare project investigated challenges associated with an
automated, sensor and actuator-rich, ubiquitous system.
- Rain
Rain is a lightweight XML-based messaging system produced by our lab.
Rain is used by both PlantCare
and the Location
Stack.
- FlashBack
The FlashBack projct is developing middleware that provides
power-aware, peer-to-peer replication for impoverished devices.
Other Intel research projects
I've been involved with:
- Labscape
Labscape is deploying ubiquitous computing solutions in a cell biology
laboratory.
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