A real-time robust fall detection system using a wireless gait analysis sensor and an Artificial Neural Network

2014 IEEE Healthcare Innovation Conference, HIC 2014

Volumn , Issue , 2014, Pages 219-222

  Nukala, B T ^a   Shibuya, N ^a   Rodriguez, A I ^a   Tsay, J ^a   Nguyen, T Q ^b   Zupancic, S ^a   Lie, D Y C ^a  

^a TEXAS TECH UNIVERSITY   (United States)

^b TEXAS TECH UNIVERSITY HEALTH SCIENCES CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; GAIT ANALYSIS; NEURAL NETWORKS;

ACTIVITIES OF DAILY LIVING; ASSISTED LIVING; BACK-PROPAGATION ARTIFICIAL NEURAL NETWORK; BELT POSITIONS; CLASSIFICATION ACCURACY; FALL DETECTION; MSP430 MICROCONTROLLERS; TRIAXIAL ACCELEROMETER;

WIRELESS SENSOR NETWORKS;

EID: 84949922022     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HIC.2014.7038914     Document Type: Conference Paper

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