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      Fall detection using single-tree complex wavelet transform

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      Author(s)
      Yazar, A.
      Keskin, F.
      Töreyin, B. U.
      Çetin, A. Enis
      Date
      2013
      Source Title
      Pattern Recognition Letters
      Print ISSN
      0167-8655
      Publisher
      Elsevier
      Volume
      34
      Issue
      15
      Pages
      1945 - 1952
      Language
      English
      Type
      Article
      Item Usage Stats
      287
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      267
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      Abstract
      The goal of Ambient Assisted Living (AAL) research is to improve the quality of life of the elderly and handicapped people and help them maintain an independent lifestyle with the use of sensors, signal processing and telecommunications infrastructure. Unusual human activity detection such as fall detection has important applications. In this paper, a fall detection algorithm for a low cost AAL system using vibration and passive infrared (PIR) sensors is proposed. The single-tree complex wavelet transform (ST-CWT) is used for feature extraction from vibration sensor signal. The proposed feature extraction scheme is compared to discrete Fourier transform and mel-frequency cepstrum coefficients based feature extraction methods. Vibration signal features are classified into "fall" and "ordinary activity" classes using Euclidean distance, Mahalanobis distance, and support vector machine (SVM) classifiers, and they are compared to each other. The PIR sensor is used for the detection of a moving person in a region of interest. The proposed system works in real-time on a standard personal computer.
      Keywords
      Falling person detection
      Feature extraction
      PIR sensor
      Single-tree complex wavelet transform
      Support vector machines
      Vibration sensor
      Ambient assisted living (AAL)
      Complex wavelet transforms
      Feature extraction methods
      Mel frequency cepstrum coefficients
      Person detection
      Pir sensors
      Telecommunications infrastructures
      Vibration sensors
      Discrete Fourier transforms
      Feature extraction
      Image segmentation
      Personal computers
      Sensors
      Support vector machines
      Ventilation exhausts
      Wavelet transforms
      Forestry
      Permalink
      http://hdl.handle.net/11693/21106
      Published Version (Please cite this version)
      http://dx.doi.org/10.1016/j.patrec.2012.12.010
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      • Department of Electrical and Electronics Engineering 3868
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