Inferring meal eating activities in real world settings from ambient sounds: A feasibility study

International Conference on Intelligent User Interfaces, Proceedings IUI

Volumn 2015-January, Issue , 2015, Pages 427-431

  Thomaz, Edison ^a   Zhang, Cheng ^a   Essa, Irfan ^a   Abowd, Gregory D ^a  

^a Georgia Institute of Technology   (United States)

Author keywords

Acoustic sensor; Activity recognition; Ambient sound; Automated dietary assessment; Dietary intake; Food journaling; Machine learning; Sound classification

Indexed keywords

AUDIO SYSTEMS; AUTOMATION; LEARNING SYSTEMS; PLANNING;

ACOUSTIC SENSORS; ACTIVITY RECOGNITION; AMBIENT SOUNDS; DIETARY ASSESSMENTS; DIETARY INTAKES; SOUND CLASSIFICATION;

USER INTERFACES;

EID: 84939604589     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2678025.2701405     Document Type: Conference Paper

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