Towards real-time recognition of activities in smart homes Online publication date: Fri, 14-Feb-2020
by Sook-Ling Chua; Lee Kien Foo; Saed Sa'deh Suleiman Juboor
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 15, No. 2, 2020
Abstract: Many supervised methods have been proposed to infer the particular activities of the inhabitants from a variety of sensors attached in the home. Current activity recognition systems either assume that the sensor stream has been presegmented or use a sliding window for activity segmentation. This makes real-time activity recognition task difficult due to the presence of temporal gaps between successive sensor activations. In this paper, we propose a method based on a set of hidden Markov models that can simultaneously solve the problem of activity segmentation and recognition on streaming sensor data without relying on any sliding window methods. We demonstrate our algorithm on sensor data obtained from two publicly available smart homes datasets.
Online publication date: Fri, 14-Feb-2020
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