Probabilistic Modelling of Gait for Robust Passive Monitoring in Daily Life

@article{Raykov2021ProbabilisticMO,
  title={Probabilistic Modelling of Gait for Robust Passive Monitoring in Daily Life},
  author={Yordan P. Raykov and Luc J. W. Evers and Reham Badawy and Bastiaan R. Bloem and Tom M. Heskes and Marjan J. Meinders and Kasper Claes and Max A. Little},
  journal={IEEE Journal of Biomedical and Health Informatics},
  year={2021},
  volume={25},
  pages={2293-2304}
}
Passive monitoring in daily life may provide valuable insights into a person's health throughout the day. Wearable sensor devices play a key role in enabling such monitoring in a non-obtrusive fashion. However, sensor data collected in daily life reflect multiple health and behavior-related factors together. This creates the need for a structured principled analysis to produce reliable and interpretable predictions that can be used to support clinical diagnosis and treatment. In this work we… 

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