Sensor-Based Change Detection for Timely Solicitation of User Engagement

Timothy Patterson, Naveed Khan, Sally McClean, Chris Nugent, Shuai Zhang, Ian Cleland, Qin Ni

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


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, electrocardiogram data or accelerometry 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 user activity labels for generating real-world labelled datasets. Within this paper, we extend our previous work on the Multivariate Online Change detection Algorithm subsequently exploring the utility of incorporating the Benjamini Hochberg method of correcting for multiple comparisons. Furthermore, we evaluate our approach against similarly light-weight Multivariate Exponentially Weighted Moving Average and Cumulative Sum based techniques. Results are presented based on manually labelled change points in accelerometry data captured using 10 participants. Each participant performed nine distinct activities for a total period of 35 minutes. The results subsequently demonstrate the practical potential of our approach from both accuracy and computational perspectives.

Original languageEnglish
Pages (from-to)2889-2900
Number of pages12
JournalIEEE Transactions on Mobile Computing
Issue number10
Early online date15 Dec 2016
Publication statusPublished - 01 Oct 2017
Externally publishedYes

Bibliographical note

Funding Information:
The authors gratefully acknowledge support from Invest Northern Ireland under research and development grant RD0513844 and the Engineering and Physical Sciences Research Council through the Multidisciplinary Assessment of Technology Centre for Healthcare (EP/F063822/1 and EP/G012393/1). Invest Northern Ireland also partially supported this project under the Competence Centre Program Grant RD0513853 - Connected Health Innovation Centre.

Publisher Copyright:
© 2002-2012 IEEE.

Copyright 2017 Elsevier B.V., All rights reserved.


  • Multivariate change detection
  • online change detection
  • soliciting user interaction

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


Dive into the research topics of 'Sensor-Based Change Detection for Timely Solicitation of User Engagement'. Together they form a unique fingerprint.

Cite this