Title :
Food Intake Activity Detection Using a Wearable Microphone System
Author :
Passler, Sebastian ; Fischer, Wolf-Joachim
Author_Institution :
Fraunhofer Inst. for Photonic Microsyst., Dresden, Germany
Abstract :
A method for non-invasive monitoring of human food intake behavior and long-term dietary protocol has been developed by the sole use of chewing and swallowing sound sensors. A novel sensor system has been built containing an in-ear microphone and a reference microphone integrated in a hearing aid case in order to record chewing and swallowing sounds in the ear canal and environmental noise, respectively. Using manual labeled records of the food intake sounds of 40 participants we developed an algorithm to detect food intake activity in sound data. Comparison between sounds from both microphones enables the discrimination between internal and external sounds.
Keywords :
acoustic signal detection; food safety; hearing aids; medical signal detection; microphones; protocols; chewing sound sensors; ear canal; environmental noise; hearing aid; human food intake activity; in-ear microphone; long term dietary protocol; noninvasive monitoring method; reference microphone; sensor system; swallowing sound sensors; wearable microphone system; Accuracy; Detection algorithms; Ear; Microphones; Monitoring; Signal processing algorithms; Speech; Chewing sound; food intake activity detection; magnitude squared coherence;
Conference_Titel :
Intelligent Environments (IE), 2011 7th International Conference on
Conference_Location :
Nottingham
Print_ISBN :
978-1-4577-0830-5
Electronic_ISBN :
978-0-7695-4452-6