SVM-based multimodal classification of activities of daily living in health smart homes: Sensors, algorithms, and first experimental results

IEEE Transactions on Information Technology in Biomedicine

Volumn 14, Issue 2, 2010, Pages 274-283

  Fleury, Anthony ^a   Vacher, Michel ^b   Noury, Norbert ^c,d  

^a ECOLE DES MINES DE DOUAI   (France)

^b UNIV GRENOBLE ALPES   (France)

^c LABORATOIRE TIMC IMAG   (France)

^d UNIVERSITÉ DE LYON   (France)

Author keywords

Activity of daily living (ADL); Classification; Health smart home; Machine learning; Support vector machines (SVMs)

Indexed keywords

ACTIVITIES OF DAILY LIVING; ACTIVITY OF DAILY LIVINGS; CLASSIFICATION ALGORITHM; CLASSIFICATION OF ACTIVITY; CROSS VALIDATION; ELDERLY PEOPLE; FREQUENCY ANALYSIS; HEALTH SMART HOME; HEALTHY SUBJECTS; KINEMATIC SENSORS; MACHINE-LEARNING; MULTI-MODAL; PRESENCE SENSORS; SOUND CLASSIFICATION;

HEALTH; MULTILAYER NEURAL NETWORKS; SENSORS; SPEECH RECOGNITION;

SUPPORT VECTOR MACHINES;

ADULT; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; BIOMECHANICS; CLASSIFICATION; DAILY LIFE ACTIVITY; FEMALE; HUMAN; INSTRUMENTATION; MALE; METHODOLOGY; MONITORING; PHYSIOLOGY; REPRODUCIBILITY;

ACTIVITIES OF DAILY LIVING; ADULT; ALGORITHMS; BAYES THEOREM; BIOMECHANICS; FEMALE; HUMANS; MALE; MONITORING, PHYSIOLOGIC; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS;

EID: 77949681594     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2009.2037317     Document Type: Article

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