Personalization and adaptation to the medium and context in a fall detection system

IEEE Transactions on Information Technology in Biomedicine

Volumn 16, Issue 2, 2012, Pages 264-271

  Naranjo Hernández, David ^a,b   Roa, Laura M ^a,b   Reina Tosina, Javier ^a,b   Estudillo Valderrama, Miguel Angel ^a,b  

^a UNIVERSITY OF SEVILLE   (Spain)

^b BIOMATERIALES Y NANOMEDICINA CIBER BBN   (Spain)

Author keywords

Daily living activities; distributed processing; dynamic adaptation; fall detection; personalization

Indexed keywords

DAILY LIVING; DISTRIBUTED PROCESSING; DYNAMIC ADAPTATION; FALL DETECTION; PERSONALIZATIONS;

ALGORITHMS; EXPERIMENTS; FIRMWARE; HEALTH CARE; SMART SENSORS;

DISTRIBUTED PARAMETER NETWORKS;

ACCELERATION; ADULT; ALGORITHM; AMBULATORY MONITORING; ARTICLE; ARTIFICIAL INTELLIGENCE; CLASSIFICATION; DAILY LIFE ACTIVITY; FALLING; FEASIBILITY STUDY; FEMALE; HUMAN; MALE; METHODOLOGY; REPRODUCIBILITY; SIGNAL PROCESSING; TELEMETRY; WIRELESS COMMUNICATION;

ACCELERATION; ACCIDENTAL FALLS; ACTIVITIES OF DAILY LIVING; ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; FEASIBILITY STUDIES; FEMALE; HUMANS; MALE; MONITORING, AMBULATORY; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; TELEMETRY; WIRELESS TECHNOLOGY;

EID: 84858111260     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2012.2185851     Document Type: Article

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