Automatic Pose Recognition for Monitoring Dangerous Situations in Ambient-Assisted Living

Continuous monitoring of frail individuals for detecting dangerous situations during their daily living at home can be a powerful tool towards their inclusion in the society by allowing living independently while safely. To this goal we developed a pose recognition system tailored to disabled students living in college dorms and based on skeleton tracking through four Kinect One devices independently recording the inhabitant with different...