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Online Change Detection for Timely Solicitation of User Interaction

Patterson, Timothy, McClean, Sally, Nugent, CD, Zhang, Shuai, Galway, Leo and Cleland, Ian (2014) Online Change Detection for Timely Solicitation of User Interaction. In: 8th International Conference on Ubiquitous Computing & Ambient Intelligence, Belfast, Northern Ireland. Springer International Publishing. Vol 8867 8 pp. [Conference contribution]

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DOI: 10.1007/978-3-319-13102-3_21

Abstract

The accurate detection of changes has the potential to form a fundamental component of systems which autonomously solicit user interaction based on transitions within an input stream, for example accelerometry data obtained from a mobile device. This solicited interaction may be utilized for diverse scenarios such as responding to changes in a patient's vital signs within a medical domain or requesting activity labels for generating real-world labelled datasets. Within this paper a change detection algorithm is presented which does not require knowledge of the underlying distributions, can run in online scenarios and considers multivariate datastreams. Results are presented demonstrating practicable potential with 99.81% accuracy and 60% precision for real-world accelerometry data.

Item Type:Conference contribution (Lecture)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Smart Environments
Computer Science Research Institute > Information and Communication Engineering
ID Code:30860
Deposited By: Dr Timothy Patterson
Deposited On:21 Jan 2015 11:30
Last Modified:05 Oct 2015 10:53

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