M. Humayun Kabir1, Keshav Thapa2, Jae-Young Yang2, Sung-HyunYang2
Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 673-681, 2019, DOI:10.31209/2018.100000035
Abstract Recognition of human activity is a key element for building intelligent and
pervasive environments. Inhabitants interact with several objects and devices
while performing any activity. Interactive objects and devices convey
information that can be essential factors for activity recognition. Using
embedded sensors with devices or objects, it is possible to get object-use
sequencing data. This approach does not create discomfort to the user than
wearable sensors and has no impact or issue in terms of user privacy than
image sensors. In this paper, we propose a linear model for activity recognition
based on the state-space method. The activities and sensor… More >
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