Fall detection using machine learning algorithms

2016 24th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2016

Volumn , Issue , 2016, Pages

  Vallabh, Pranesh ^a   Malekian, Reza ^a   Ye, Ning ^b,c   Bogatinoska, Dijana Capeska ^d  

^a UNIVERSITY OF PRETORIA   (South Africa)

^b NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^c JIANGSU HIGH TECHNOLOGY RESEARCH KEY LABORATORY FOR WIRELESS SENSOR NETWORKS   (China)

^d University for Information Science and Technology   (Macedonia)

Author keywords

Fall detection; machine learning; public dataset; smartphone

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER NETWORKS; LEARNING SYSTEMS; NEAREST NEIGHBOR SEARCH;

ACTIVITIES OF DAILY LIVING; CLASSIFICATION ALGORITHM; FALL DETECTION; FEATURE SELECTION METHODS; K-NEAREST NEIGHBORS; LARGE DATABASE; OVERALL ACCURACIES; PUBLIC DATASET;

LEARNING ALGORITHMS;

EID: 85010338574     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SOFTCOM.2016.7772142     Document Type: Conference Paper

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