Speech activity detection using accelerometer

The level of social activity is linked to the overall wellbeing and to various disorders, including stress. In this regard, a myriad of automatic solutions for monitoring social interactions have been proposed, usually including audio data analysis. Such approaches often face legal and ethical issue...

Full description

Saved in:
Bibliographic Details
Published in2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2012; pp. 2112 - 2115
Main Authors Matic, A., Osmani, V., Mayora, O.
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 01.01.2012
Subjects
Acceleration
Accelerometers
Actigraphy - instrumentation
Activities of Daily Living
Adult
Female
Humans
Male
Microphones
Monitoring
Monitoring, Ambulatory - instrumentation
Sensors
Social Behavior
Sound Spectrography - instrumentation
Sound Spectrography - methods
Speech
Speech - physiology
Speech Production Measurement - instrumentation
Speech recognition
Vibrations
Vocal Cords - physiology
Online AccessGet full text
ISBN1424441196
9781424441198
ISSN1094-687X
1557-170X
DOI10.1109/EMBC.2012.6346377

Cover

More Information
Summary:The level of social activity is linked to the overall wellbeing and to various disorders, including stress. In this regard, a myriad of automatic solutions for monitoring social interactions have been proposed, usually including audio data analysis. Such approaches often face legal and ethical issues and they may also raise privacy concerns in monitored subjects thus affecting their natural behaviour. In this paper we present an accelerometer-based speech detection which does not require capturing sensitive data while being an easily applicable and a cost-effective solution.
ISBN:1424441196
9781424441198
ISSN:1094-687X
1557-170X
DOI:10.1109/EMBC.2012.6346377