Investigation of Sensor Placement for Accurate Fall Detection

  • Periklis NtanasisEmail author
  • Evangelia Pippa
  • Ahmet Turan Özdemir
  • Billur Barshan
  • Vasileios Megalooikonomou
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 192)


Fall detection is typically based on temporal and spectral analysis of multi-dimensional signals acquired from wearable sensors such as tri-axial accelerometers and gyroscopes which are attached at several parts of the human body. Our aim is to investigate the location where such wearable sensors should be placed in order to optimize the discrimination of falls from other Activities of Daily Living (ADLs). To this end, we perform feature extraction and classification based on data acquired from a single sensor unit placed on a specific body part each time. The investigated sensor locations include the head, chest, waist, wrist, thigh and ankle. Evaluation of several classification algorithms reveals the waist and the thigh as the optimal locations.


Fall detection Fall classification Wearable sensors Sensor placement Machine learning Classification Accelerometers Gyroscopes 



This work was supported by the FrailSafe project funded from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 690140. The paper reflects only the view of the authors and the Commission is not responsible for any use that may be made of the information it contains.


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017

Authors and Affiliations

  • Periklis Ntanasis
    • 1
    Email author
  • Evangelia Pippa
    • 1
  • Ahmet Turan Özdemir
    • 2
  • Billur Barshan
    • 3
  • Vasileios Megalooikonomou
    • 1
  1. 1.Department of Computer Engineering and InformaticsUniversity of PatrasPatrasGreece
  2. 2.Department of Electrical and Electronics EngineeringErciyes UniversityKayseriTurkey
  3. 3.Department of Electrical and Electronics EngineeringBilkent UniversityAnkaraTurkey

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