Title: Activity recognition approach based on spatial-temporal constraints for aged-care in smart home

Authors: Haibao Chen; Chih-Yung Chang; Cuijuan Shang; Guilin Chen; Shenghui Zhao

Addresses: School of Computer and Information Engineering, Chuzhou University, Anhui, China ' Department Computer Science and Information Engineering, Tamkang University, Taiwan ' School of Computer and Information Engineering, Chuzhou University, Anhui, China ' School of Computer and Information Engineering, Chuzhou University, Anhui, China ' School of Computer and Information Engineering, Chuzhou University, Anhui, China

Abstract: Activity recognition plays an important role in smart homes for aged-care. In this paper, we formulate the problem of activity recognition and propose a new method based on spatial-temporal constraints to carry out activity recognition, which consists of five phases: initialisation, segmentation, sensor data representation, activity exploration as well as activity identification. Besides, we analyse the time complexity and space complexity of our approach in theory. To evaluate our approach, we carried out experiments on real dataset from Wireless and Mobile Network Laboratory, Tamkang University. The experimental results demonstrate an improvement of 5.6% in the accuracy on average of recognised activities in comparison to the method of support vector machine (SVM).

Keywords: activity recognition; smart home; wireless sensor network; aged-care.

DOI: 10.1504/IJAHUC.2020.106645

International Journal of Ad Hoc and Ubiquitous Computing, 2020 Vol.33 No.3, pp.168 - 183

Received: 22 Oct 2018
Accepted: 22 Jan 2019
Published online: 16 Apr 2020 *

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