Deep Recurrent Neural Networks for Edge Monitoring of Personal Risk and Warning Situations

• Published in: Scientific programming Vol. 2019; no. 2019; pp. 1 - 10
• Main Authors: Leporati, Francesco, Guareschi, Federico, Musci, Mirto, Torti, Emanuele, Piastra, Marco
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 2019; Hindawi; John Wiley & Sons, Inc
• Subjects: Accelerometers; Artificial intelligence; Deep learning; Design; Edge computing; Machine learning; Neural networks; Occupancy; Older people; Power consumption; Public health; Recurrent neural networks; Sensors; Signal classification; Smartphones; Statistical methods; Teaching methods; Wearable technology; Work stations

Accidental falls are the main cause of fatal and nonfatal injuries, which typically lead to hospital admissions among elderly people. A wearable system capable of detecting unintentional falls and sending remote notifications will clearly improve the quality of the life of such subjects and also hel...