Fall Detection using Wearable Accelerometers

Falls are risky, especially for the elderly people living independently and people with neurodegenerative diseases. The accidental falls are among the leading causes of death over 65. Fast detection of falls would not only decrease the health risks by enabling quick medical response; but also make independent living a safe option for the elderly. We aim to develop a smart and automatic fall detection system in this project. The goals of the project are:

  • Understanding state of the art on fall detection systems
  • Assessing the pros and cons of different systems and provide an original and effective design
  • Developing a robust fall detection algorithm
  • Developing the required smart interfaces for product configuration

fall_detection.txt · Last modified: 2011/11/01 17:03 by ozlem
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