Activity Sensing and Localization in Indoor Enviroments

24.05.2019 von 14:00 bis 14:45

Sensing people and mobile objects in indoor environments are key
building blocks of many smart building applications. In this talk, I
will share some recent results from my research in indoor localization
and people sensing in buildings. We have developed new ways to use
ultra sonic sensing to count and track people in buildings while
ensuring privacy. We have made ultra-wide band radio based indoor
localization more accurate, efficient, and scalable. I will also
describe what we learned from evaluating these approaches on long and
short-term deployments in buildings and on testbeds.

Speaker Bio

Omprakash Gnawali is an Associate Professor at the Computer Science
Department of the University of Houston. He does research on IoT, with
a focus on wireless and sensing technologies. Other areas of interest
include cybersecurity, data analytics, mobile systems, and technology
for the emerging markets. He received his SB and MEng from MIT, PhD
from USC, and was a postdoc at Stanford.

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