Distributed intelligent architecture for falling detection and physical activity analysis in the elderly

  • Kansiz A
  • Guvensan M
  • Turkmen H
 et al. 
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Abstract

When facing damages caused by falls, a well designed smart sensor system to detect falls can be both medically and economically helpful. This research introduces a portable terrain adaptable fall detection system, by placing accelerometers and gyroscopes in parts of the body and transmit data through wireless transmitter modules to mobile devices to get the related information and combining it with the center of gravity clustering algorithm introduced in this research which computes the human body behavior patterns according the relationship between the center of gravity in the body and the feet portion of the body. Compared with the research in the past, this system is not only highly accurate and robust, but also able to adapt to different types of terrains, which solves the problems that other researches have for detection errors when the client is climbing the stairs or walking on a slant.

Author-supplied keywords

  • 10
  • 2014
  • 2014010103
  • 24 hr
  • 4018
  • Acceleration
  • Accelerometer
  • Accelerometers
  • Accessory
  • Acoustic signal processing
  • Activity recognition
  • Aging
  • Algorithm design and analysis
  • Android
  • Android G1 phone
  • Beamforming (BF) and height information
  • Biosensors
  • Body Sensor Networks
  • Clinical Trials
  • Context information
  • Design methodology
  • Detection algorithms
  • Elderly
  • Environment awareness
  • Face detection
  • Fall Perception
  • Fall detection
  • Fall detector
  • Feature extraction
  • Feature reduction
  • Frequent faller
  • Guidelines
  • Gyroscopes
  • Hip fracture
  • Independent living
  • Intelligent networks
  • Intelligent sensors
  • Kinect
  • Location based services
  • MEMS Accelerometers
  • Machine Learning
  • Machine learning
  • Magnetic field sensor
  • Medical treatment
  • MobiFall dataset
  • Mobile applications
  • Mobile communication
  • Mobile devices
  • Mobile handsets
  • Mobile phones
  • Monitoring
  • Monitoring system
  • Movement analysis
  • Older people
  • Pattern recognition
  • Pediatrics
  • PerFallD
  • Pervasive computing
  • Pervasive fall detection
  • Physics computing
  • Senior citizens
  • Sensors
  • Signal design
  • Smart Wristlet
  • Smart phone
  • Smart phones
  • Specificity
  • Supervised learning
  • TF-IDF (Term Frequency-Inverse Document Frequency)
  • Transducers
  • WBSN
  • WPAN server
  • Webcam
  • Wireless personal area networks
  • Wireless transmitter modules
  • ZigBee
  • accelerometer
  • accelerometers
  • accidental falls
  • activity recognition
  • algorithm
  • ambient assisted living
  • analysis
  • artificial intelligence
  • assisted living
  • athlete
  • biomechanics
  • biomedical technology
  • biomedical telemetry
  • care
  • caregivers
  • communication services
  • computer architecture
  • computer vision
  • copying or distributing in
  • copyright
  • data
  • dataset
  • decision tree
  • design
  • distributed intelligent architecture
  • doi
  • elderly
  • elderly people
  • emergency calling
  • exercise measurement
  • fall classification
  • fall detection
  • fall detection algorithms
  • fall detections
  • falling detection
  • focus groups
  • four-axis accelerometer
  • four-axis accelerometers
  • gait
  • geriatrics
  • gis
  • gyroscopes
  • head detection
  • history
  • human activity dataset
  • human shape analysis
  • igi global
  • igi global is prohibited
  • ijmstr
  • inclination measurement
  • indicators
  • inertial-sensor data
  • information and communication technology
  • intelligent accelerometer unit
  • intelligent sensors
  • mHealth (mobile Health)
  • medical
  • medical signal processing
  • microphone arrays
  • mobile computing
  • mobile devices
  • mobile handsets
  • mobile phone platforms
  • mobility limitation
  • multi-camera
  • older adults
  • on-line processing
  • orientation sensor
  • patient acceptance of health
  • personal area networks
  • pervasive fall detection system
  • physical activity analysis
  • posture classification
  • preventive medicine
  • primary signal sources
  • print or electronic forms
  • sacrum
  • semantic transcoding
  • signal transmission optimization
  • smart phones
  • smartphone
  • smartphones
  • sound source localization
  • technology
  • telehealthcare
  • telemedicine
  • temporal
  • threshold-based
  • thresholds
  • transmitted signals
  • tri-axial accelerometer
  • user-centered design
  • validation phase
  • wellness provision
  • wireless accelerometer sensor module
  • wireless monitoring system
  • without written permission of

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Authors

  • A. Oguz Kansiz

  • M. Amac Guvensan

  • H. Irem Turkmen

  • George Vavoulas

  • Matthew Pediaditis

  • Emmanouil G. Spanakis

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