@inproceedings{63353e2a450f4e3180625bea1df0fe00,
title = "LifeLine: A device for detecting abnormal patterns",
abstract = "This paper presents a reliable LifeLine, app or device, that uses multiple native hardware sensors in conjunction with motion detection methods and AI/machine learning algorithms to automatically detect life-threatening conditions. The app or device then autonomously responds to said conditions and sends alarm signals through various communication channels within milliseconds, without the need for user intervention. The app version is currently on Google Play. The testing of such an autonomous AI app or device imposes some new challenges due to the nondeterminism in AI agent{\textquoteright}s reaction to various scenarios and the continuous learning of the AI agent with new knowledge.",
keywords = "Classifier, Mobile app, Sensors., Voice recognition",
author = "{Jenny Li}, J. and Peter Krivoshik and Andrey Suvorov and Claudia Fortes and Phillip Kenny",
note = "Publisher Copyright: {\textcopyright} 2018 Association for Computing Machinery.; 2018 International Conference on Pattern Recognition and Artificial Intelligence, PRAI 2018 ; Conference date: 15-08-2018 Through 17-08-2018",
year = "2018",
month = aug,
day = "15",
doi = "10.1145/3243250.3243265",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "76--81",
booktitle = "Proceedings of 2018 International Conference on Pattern Recognition and Artificial Intelligence, PRAI 2018",
}