column

BodyBeat: Eavesdropping on our Body Using a Wearable Microphone

Authors:

Tanzeem ChoudhuryAuthors Info & Claims

GetMobile: Mobile Computing and Communications, Volume 19, Issue 1

Pages 14 - 17

https://doi.org/10.1145/2786984.2786989

Published: 01 June 2015 Publication History

Get Access

References

[1]

O. Amft, M. Stäger, P. Lukowicz, and G. Tröster. Analysis of chewing sounds for dietary monitoring. In UbiComp 2005, 56--72.

Digital Library

Google Scholar

[2]

K. Yatani and K. N. Truong. BodyScope: a wearable acoustic sensor for activity recognition. In UbiComp 2012, 341--350.

Digital Library

Google Scholar

[3]

S. Reichert, R. Gass, C. Brandt, and E. Andrès. Analysis of Respiratory Sounds: State of the Art. In Clinical Medicine 2008. Circulatory, Respiratory and Pulmonary Medicine, 2, 45--58.

Google Scholar

[4]

Hall, M. A. Correlation-based Feature Selection for Machine Learning. PhD Thesis April 1999.

Google Scholar

[5]

http://leaflabs.com.

Google Scholar

[6]

http://www.openmusiclabs.com/projects/codec-shield/.

Google Scholar

[7]

J. Noronha, E. Hysen, H. Zhang, and K. Gajos. Platemate:crowdsourcing nutritional analysis from food photographs.In UIST 2011.

Digital Library

Google Scholar

[8]

E. Larson, T. Lee, S. Liu, M. Rosenfeld, and S. Patel. Accurate and privacy preserving cough sensing using a low-cost microphone. In UbiComp 2011, 375--384.

Digital Library

Google Scholar

[9]

T. Rahman, A. T. Adams, M. Zhang, E. Cherry, B. Zhou, H. Peng, and T. Choudhury. BodyBeat: a mobile system for sensing non-speech body sounds. In MobiSys 2014. 2--13.

Digital Library

Google Scholar

Cited By

View all

Ghosh TSazonov E(2023)Passive Sensors for Detection of Food IntakeEncyclopedia of Sensors and Biosensors10.1016/B978-0-12-822548-6.00086-8(218-234)Online publication date: 2023
https://doi.org/10.1016/B978-0-12-822548-6.00086-8
Jabłoński I(2021)A Laboratory Set-up for the Multisystem Body Sounds Measurement: a Feasibility StudyIFAC-PapersOnLine10.1016/j.ifacol.2021.10.23254:15(61-66)Online publication date: 2021
https://doi.org/10.1016/j.ifacol.2021.10.232
Khelifi FBradai ABenslimane ARawat PAtri M(2019)A Survey of Localization Systems in Internet of ThingsMobile Networks and Applications10.1007/s11036-018-1090-324:3(761-785)Online publication date: 1-Jun-2019
https://dl.acm.org/doi/10.1007/s11036-018-1090-3
Show More Cited By

Index Terms

BodyBeat: Eavesdropping on our Body Using a Wearable Microphone
1. Applied computing
2. Information systems
  1. Information retrieval
    1. Specialized information retrieval
      1. Multimedia and multimodal retrieval
        Music retrieval

Recommendations

BodyBeat: a mobile system for sensing non-speech body sounds
MobiSys '14: Proceedings of the 12th annual international conference on Mobile systems, applications, and services

In this paper, we propose BodyBeat, a novel mobile sensing system for capturing and recognizing a diverse range of non-speech body sounds in real-life scenarios. Non-speech body sounds, such as sounds of food intake, breath, laughter, and cough contain ...
Public-Key encryption from ID-Based encryption without one-time signature
OTM'06: Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part I

Design a secure public key encryption scheme and its security proof are one of the main interests in cryptography In 2004, Canetti, Halevi and Katz [8] constructed a public key encryption (PKE) from a selective identity-based encryption scheme with a ...
Identity-based strong designated verifier signature schemes: Attacks and new construction

A strong designated verifier signature scheme makes it possible for a signer to convince a designated verifier that she has signed a message in such a way that the designated verifier cannot transfer the signature to a third party, and no third party ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image GetMobile: Mobile Computing and Communications

GetMobile: Mobile Computing and Communications Volume 19, Issue 1

January 2015

34 pages

ISSN:2375-0529

EISSN:2375-0537

DOI:10.1145/2786984

Editor:
Eyal de Lara
University of Toronto

Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 2015

Published in SIGMOBILE-GETMOBILE Volume 19, Issue 1

Check for updates

Qualifiers

Column

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

6
Total Citations
View Citations
282
Total Downloads

Downloads (Last 12 months)7
Downloads (Last 6 weeks)0

Reflects downloads up to 25 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Ghosh TSazonov E(2023)Passive Sensors for Detection of Food IntakeEncyclopedia of Sensors and Biosensors10.1016/B978-0-12-822548-6.00086-8(218-234)Online publication date: 2023
https://doi.org/10.1016/B978-0-12-822548-6.00086-8
Jabłoński I(2021)A Laboratory Set-up for the Multisystem Body Sounds Measurement: a Feasibility StudyIFAC-PapersOnLine10.1016/j.ifacol.2021.10.23254:15(61-66)Online publication date: 2021
https://doi.org/10.1016/j.ifacol.2021.10.232
Khelifi FBradai ABenslimane ARawat PAtri M(2019)A Survey of Localization Systems in Internet of ThingsMobile Networks and Applications10.1007/s11036-018-1090-324:3(761-785)Online publication date: 1-Jun-2019
https://dl.acm.org/doi/10.1007/s11036-018-1090-3
Hui TSherratt RSnchez D(2017)Major requirements for building Smart Homes in Smart Cities based on Internet of Things technologiesFuture Generation Computer Systems10.1016/j.future.2016.10.02676:C(358-369)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1016/j.future.2016.10.026
Hui TSherratt R(2016)Towards disappearing user interfaces for ubiquitous computing: human enhancement from sixth sense to super sensesJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-016-0409-98:3(449-465)Online publication date: 16-Sep-2016
https://doi.org/10.1007/s12652-016-0409-9
Nandakumar RGollakota SWatson NBorriello GPau GGruteser MHong J(2015)Contactless Sleep Apnea Detection on SmartphonesProceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services10.1145/2742647.2742674(45-57)Online publication date: 18-May-2015
https://dl.acm.org/doi/10.1145/2742647.2742674

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

BodyBeat: a mobile system for sensing non-speech body sounds

Public-Key encryption from ID-Based encryption without one-time signature

Identity-based strong designated verifier signature schemes: Attacks and new construction