LifeLine: A device for detecting abnormal patterns
Document Type
Conference Proceeding
Publication Date
8-15-2018
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’s reaction to various scenarios and the continuous learning of the AI agent with new knowledge.
Publication Title
ACM International Conference Proceeding Series
First Page Number
76
Last Page Number
81
DOI
10.1145/3243250.3243265
Recommended Citation
Jenny Li, J.; Krivoshik, Peter; Suvorov, Andrey; Fortes, Claudia; and Kenny, Phillip, "LifeLine: A device for detecting abnormal patterns" (2018). Kean Publications. 1467.
https://digitalcommons.kean.edu/keanpublications/1467