We explore a dense sensing approach that uses RFID sensor network technology to recognize human activities. In our setting, everyday objects are instrumented with UHF RFID tags ca...
Michael Buettner, Richa Prasad, Matthai Philipose,...
To tackle the problem of increasing numbers of state transition parameters when the number of sensors increases, we present a probabilistic model together with several parsinomiou...
Abstract. This paper describes how we recognize activities of daily living (ADLs) with our designed sensor device, which is equipped with heterogeneous sensors such as a camera, a ...
- This paper presents a sensor network system for detecting multiple user activity in a home environment. Recognizing Activities of Daily living (ADLs) by deploying sensors in the ...
In this paper, we propose an automated approach to track and recognize daily activities. Any activity is represented in this research as a sequence of raw sensors data. These seque...