The Sweet-Home project aims at providing audio-based interaction technology that lets the user have full control over their home environment, at detecting distress situations and at easing the social inclusion of the elderly and frail population. This paper presents an overview of the project focusing on the implemented techniques for speech and sound recognition as context-aware decision making with uncertainty. A user experiment in a smart home demonstrates the interest of this audio-based technology.
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Background: Effective childhood obesity prevention programs for preschool children are limited in number and focus on changes in the child care environment rather than the home environment.
Purpose: The purpose of this project was to develop and test the feasibility of a home environment obesity prevention program that incorporates mindful eating strategies and Social Cognitive Theory (SCT) constructs. is specifically designed for rural parents and grandparents of preschool-age children.
The Sweet-Home project: audio processing and decision making in smart home to improve well-being and reliance.
Annu Int Conf IEEE Eng Med Biol Soc
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The Sweet-Home project aims at providing audio-based interaction technology that lets the user have full control over their home environment, at detecting distress situations and at easing the social inclusion of the elderly and frail population. This paper presents an overview of the project focusing on the implemented techniques for speech and sound recognition as context-aware decision making with uncertainty. A user experiment in a smart home demonstrates the interest of this audio-based technology.
View Article and Find Full Text PDFThe sweet-home project: audio technology in smart homes to improve well-being and reliance.
Annu Int Conf IEEE Eng Med Biol Soc
June 2012
Laboratory of Informatics of Grenoble, UMR CNRS/UJF/G-INP 5217, Grenoble, France.
The Sweet-Home project aims at providing audio-based interaction technology that lets the user have full control over their home environment, at detecting distress situations and at easing the social inclusion of the elderly and frail population. This paper presents an overview of the project focusing on the multimodal sound corpus acquisition and labelling and on the investigated techniques for speech and sound recognition. The user study and the recognition performances show the interest of this audio technology.
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