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 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.
CREATE-NET, Trento, Italy.
Aleksandar
A
Matic
Venet
V
Osmani
Oscar
O
Mayora
D000054:Acceleration; D056044:Actigraphy / Q000295:instrumentation*; D000203:Activities of Daily Living; D000328:Adult; D005260:Female; D006801:Humans; D008297:Male; D018670:Monitoring, Ambulatory / Q000295:instrumentation*; D012919:Social Behavior; D013018:Sound Spectrography / Q000295:instrumentation / Q000379:methods*; D013060:Speech / Q000502:physiology*; D013068:Speech Production Measurement / Q000295:instrumentation*; D014827:Vocal Cords / Q000502:physiology*