Fall detection for multiple pedestrians using a PCA approach to 3-D inclination

Chien Feng Wu*, Shir Kuan Lin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Aging populations in developing countries have driven increased research interest in issues related to “eldercare,” with a particular focus on early fall detection. This article describes an approach to processing images captured using a depth camera to predict the probable inclination of an imminent fall by a pedestrian. First, the 3-D object reconstruction method is explained and realized. Then, the 3-D object inclination analysis is given. Experimental results show prediction rates achieved accuracy up to 98.11%, making this approach promising for use in applications in hospital and home environments in the near future.

Original languageEnglish
JournalInternational Journal of Engineering Business Management
StatePublished - 1 Jan 2019


  • 3-D inclination calculation
  • 3-D object reconstruction
  • depth camera
  • Early fall detection
  • principle component analysis

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