: An Activity Recognition System with Smartphone Using Logic-Based Stream Reasoning

Thang Do; Seng Loke; Fei Liu

Mobile and Ubiquitous Systems: Computing, Networking, and Services. 9th International Conference, MobiQuitous 2012, Beijing, China, December 12-14, 2012. Revised Selected Papers

Research Article

: An Activity Recognition System with Smartphone Using Logic-Based Stream Reasoning

Download

393 downloads

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-642-40238-8_16,
    author={Thang Do and Seng Loke and Fei Liu},
    title={
            : An Activity Recognition System with Smartphone Using Logic-Based Stream Reasoning},
    proceedings={Mobile and Ubiquitous Systems: Computing, Networking, and Services. 9th International Conference, MobiQuitous 2012, Beijing, China, December 12-14, 2012. Revised Selected Papers},
    proceedings_a={MOBIQUITOUS},
    year={2013},
    month={9},
    keywords={health promotion Answer Set Programming stream reasoning sensors smart phone activity recognition},
    doi={10.1007/978-3-642-40238-8_16}
}

Thang Do
Seng Loke
Fei Liu
Year: 2013
: An Activity Recognition System with Smartphone Using Logic-Based Stream Reasoning
MOBIQUITOUS
Springer
DOI: 10.1007/978-3-642-40238-8_16

Thang Do¹, Seng Loke¹, Fei Liu¹

1: La Trobe University

Abstract

This paper introduces a prototype we named which uses Answer set programming based Stream Reasoning (ASR) in combination with Artificial Neural Network (ANN) to automatically recognize users activities. HealthyLife aims to provide statistics about user habits and provide suggestions and alerts to the user to help the user maintain a healthy lifestyle. The advantages of HealthyLife over other projects are: (i) no restriction on how to carry the phone (such as in hand bag), (ii) detect complex activities and give recommendations, (iii) deal well with ambiguity when recognizing situations, and (iv) no additional devices are required.

Keywords: health promotion Answer Set Programming stream reasoning sensors smart phone activity recognition

Published: 2013-09-24

: http://dx.doi.org/10.1007/978-3-642-40238-8_16