A direction-sensitive fall detection system using single 3D accelerometer and learning classifier

@article{Hossain2016ADF,
  title={A direction-sensitive fall detection system using single 3D accelerometer and learning classifier},
  author={F. M. Takbir Hossain and Md. Liakot Ali and Md. Zahurul Islam and Hossen A. Mustafa},
  journal={2016 International Conference on Medical Engineering, Health Informatics and Technology (MediTec)},
  year={2016},
  pages={1-6}
}
The rate of fall incidence among the elderly people is ever increasing. It is at the sixth position in the list of causes of death for the people aged between 60 and 65; the second between 65 and 75; the first over 75. Treatment of a patient, experiencing complications due to a fall, within the first 12 minutes after a fall brings a survival rate of 48% –75%. So, fast and accurate detection of fall events is emerging as a big necessity for many countries, especially for the advanced world where… CONTINUE READING