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Alarm notification of body sensors utilising activity recognition and smart device application

Kang, James, Luan, Hao and Larkin, Henry 2016, Alarm notification of body sensors utilising activity recognition and smart device application, in MoMM 2016: Proceedings of the 14th International Conference on Advances in Mobile Computing and Multimedia, Association for Computing Machinery, New York, N.Y., pp. 103-107, doi: 10.1145/3007120.3007153.

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Title Alarm notification of body sensors utilising activity recognition and smart device application
Author(s) Kang, JamesORCID iD for Kang, James orcid.org/0000-0002-0242-4187
Luan, Hao
Larkin, HenryORCID iD for Larkin, Henry orcid.org/0000-0001-5867-1542
Conference name Advances in Mobile Computing and Multimedia. International Conference (14th : 2016 : Singapore)
Conference location Singapore
Conference dates 28-30 Nov. 2016
Title of proceedings MoMM 2016: Proceedings of the 14th International Conference on Advances in Mobile Computing and Multimedia
Editor(s) Abdulrazak, B.
Pardede, E.
Steinbauer, M.
Khalil, I.
Publication date 2016
Start page 103
End page 107
Total pages 5
Publisher Association for Computing Machinery
Place of publication New York, N.Y.
Keyword(s) Body Sensors
Wireless Body Area Network
mHealth
Personal Sensor Device
Smart Device App
Activity Recognition
Summary Smart device and body sensors have become innovative and converged with health informatics. To reduce the battery power consumption and bandwidth usage in wireless body area networks, it is proposed to infer sensed data in sensor nodes, which can raise an alarm when the user is in an urgent situation by analysing the sensed data against the user’s activity status utilising accelerometer sensors. However when the activity changes frequently, there may be an increase in false alarms which increases sensing and transferring of data resulting in higher resource consumption. To reduce and mitigate the problem, we propose to verify the alarm using a smart device or smartwatch application so that a user can respond to whether the alarm is true or false, and thus provide feedback to the system to improve activity recognition. This paper presents a user-feedback system for use in activity recognition to mitigate and improve possible false alarm situations, which will consequently result in helping sensors to reduce the frequency of transactions and transmissions in wireless body area networks.
ISBN 9781450348065
Language eng
DOI 10.1145/3007120.3007153
Field of Research 080702 Health Informatics
080301 Bioinformatics Software
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2016, ACM
Persistent URL http://hdl.handle.net/10536/DRO/DU:30090910

Document type: Conference Paper
Collection: School of Information Technology
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