Multimodal approach for non-tagged indoor identification and tracking using smart floor and pyroelectric infrared sensors Online publication date: Mon, 26-Dec-2016
by Ibrahim Al-Naimi; Chi Biu Wong; Philip Moore; Xi Chen
International Journal of Computational Science and Engineering (IJCSE), Vol. 14, No. 1, 2017
Abstract: Research concern has been directed toward automatic identification and tracking of people within the home environment to support smart home services such as care services for elderly and disadvantaged people to enable and prolong their independent living. Although various approaches have been proposed to deal with this problem, solutions still remain untackled for various reasons (e.g., user acceptance). The aim of this paper is to develop and implement an advanced approach that is capable to accurately detect, identify, and track people within appropriate smart home environment to be used as infrastructure for various application domains. A novel multimodal approach for non-tagged human identification and tracking within smart home environment is proposed. The proposed approach combines pyroelectric infrared (PIR) sensors and floor pressure through unique designed integration strategy aiming to merge the advantages of the two sensor types and overcome their limitations.
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