Abstract
This paper introduces a prototype we named HealthyLife 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.
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© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Do, T.M., Loke, S.W., Liu, F. (2013). HealthyLife: An Activity Recognition System with Smartphone Using Logic-Based Stream Reasoning. In: Zheng, K., Li, M., Jiang, H. (eds) Mobile and Ubiquitous Systems: Computing, Networking, and Services. MobiQuitous 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 120. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40238-8_16
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DOI: https://doi.org/10.1007/978-3-642-40238-8_16
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