A Novel Monitoring System for Fall Detection in Older People

• Published in: IEEE access Vol. 6; pp. 43563 - 43574
• Main Authors: Taramasco, Carla, Rodenas, Tomas, Martinez, Felipe, Fuentes, Paola, Munoz, Roberto, Olivares, Rodrigo, De Albuquerque, Victor Hugo C., Demongeot, Jacques
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; artificial neural networks; Cameras; Fall detection; Infrared sensors; Machine learning; Monitoring; Monitoring systems; Older people; Recurrent neural networks; Sensor arrays; Sensors; Temperature sensors

Each year, more than 30% of people over 65 years-old suffer some fall. Unfortunately, this can generate physical and psychological damage, especially if they live alone and they are unable to get help. In this field, several studies have been performed aiming to alert potential falls of the older pe...