Online personal risk detection based on behavioural and physiological patterns

@article{BarreraAnimas2017OnlinePR,
  title={Online personal risk detection based on behavioural and physiological patterns},
  author={Ari Yair Barrera-Animas and Luis A. Trejo and Miguel Angel Medina-P{\'e}rez and Ra{\'u}l Monroy and Benito Cami{\~n}a and Fernando God{\'i}nez},
  journal={Inf. Sci.},
  year={2017},
  volume={384},
  pages={281-297}
}
We define personal risk detection as the timely identification of when someone is in the midst of a dangerous situation, for example, a health crisis or a car accident, events that may jeopardize a person’s physical integrity. We work under the hypothesis that a riskprone situation produces sudden and significant deviations in standard physiological and behavioural user patterns. These changes can be captured by a group of sensors, such as the accelerometer, gyroscope, and heart rate. We… CONTINUE READING