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Poster abstract: a mobile-cloud service for physiological anomaly detection on smartphones

Authors:

Guobin ShenAuthors Info & Claims

IPSN '13: Proceedings of the 12th international conference on Information processing in sensor networks

Pages 327 - 328

https://doi.org/10.1145/2461381.2461431

Published: 08 April 2013 Publication History

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Abstract

There is a growing number of examples that use the microphones in phone for various acoustic processing tasks as mobile phones become increasingly computationally powerful. However, there is no general physiological acoustic anomaly detection service on smartphones. To this end, we propose a physiological acoustic anomaly detection service which contains classifiers that can be used to detect irregularity and anomalies in lung sounds and notifies the user. We also present and discuss on some preliminary results.

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Cited By

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Diaconita IReinhardt AChristin DRensing CYoussef MMascolo CKawsar F(2014)Bleep bleep!Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services10.4108/icst.mobiquitous.2014.258035(110-119)Online publication date: 2-Dec-2014
https://dl.acm.org/doi/10.4108/icst.mobiquitous.2014.258035
Diaconita IReinhardt AEnglert FChristin DSteinmetz R(2014)Do you hear what I hear? Using acoustic probing to detect smartphone locations2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS)10.1109/PerComW.2014.6815157(1-9)Online publication date: Mar-2014
https://doi.org/10.1109/PerComW.2014.6815157

Index Terms

Poster abstract: a mobile-cloud service for physiological anomaly detection on smartphones
1. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems

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Published In

IPSN '13: Proceedings of the 12th international conference on Information processing in sensor networks

April 2013

372 pages

ISBN:9781450319591

DOI:10.1145/2461381

General Chair:
Tarek Abdelzaher
University of Illinois, Urbana-Champaign
,
Program Chairs:
Kay Römer
University of Lübeck & ETH Zurich
,
Raj Rajkumar
Carnegie Mellon University

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Association for Computing Machinery

New York, NY, United States

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Published: 08 April 2013

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IPSN 2013: The 12th International Conference on Information Processing in Sensor Networks

April 8 - 11, 2013

Pennsylvania, Philadelphia, USA

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IPSN '13 Paper Acceptance Rate 24 of 115 submissions, 21%;

Overall Acceptance Rate 143 of 593 submissions, 24%

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Diaconita IReinhardt AChristin DRensing CYoussef MMascolo CKawsar F(2014)Bleep bleep!Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services10.4108/icst.mobiquitous.2014.258035(110-119)Online publication date: 2-Dec-2014
https://dl.acm.org/doi/10.4108/icst.mobiquitous.2014.258035
Diaconita IReinhardt AEnglert FChristin DSteinmetz R(2014)Do you hear what I hear? Using acoustic probing to detect smartphone locations2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS)10.1109/PerComW.2014.6815157(1-9)Online publication date: Mar-2014
https://doi.org/10.1109/PerComW.2014.6815157

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Poster abstract: Detecting lung diseases with electrical impedance tomography

Deep learning for anomaly detection in multivariate time series: Approaches, applications, and challenges

Poster Abstract: Camera-Assisted Training of Non-Vision Sensors for Anomaly Detection

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