Taxonomic Search: kasera, sneha OR k
The objective of this research is to enable cyberphysical systems (CPS) to be context-aware of people in the environment and to use data from real-world probabilistic sensors.
This project is developing methods for human context awareness in smart buildings, aging-in-place, smart authorization, and emergency response. We enable this using inference using radio frequency (RF) sensing networks, in which channel measurements are made by deployed wireless networking devices. In RF sensing networks, the network is the sensor. We are developing methods to learn human context for smart facilities and elder care, including:
We are at the end of a fouryear effort that has dramatically improved the capability of the use of RF sensors, particularly those that measure received signal strength (RSS) to sense the locations and context of people in buildings and homes. We have investigated both systems which use RFID tags to identify a person or object, and those which use a static deployed network of transceivers for devicefree localization, to locate people moving in the environment who do not carry any tag or device. Locating people who don't wear a de