Colloquium: Intelligent System for Monitoring Persons with Impaired Mobility using Soft Deep Learning

15 September 2017

Bedridden patients can present physical and mental illnes because of this condition. There are some protocols for avoiding such issues, but either they are to expensive, sensitive to human error or just not applied because of its complexity. We propose the development of a system with techniques of artificial intelligence and pattern recognition to identify the emotional state and posture of bedridden patients, based on the identification of facial and body gestures, called SIAPA (Sistema Inteligente de Apoio ao Paciente Acamado, Intelligent Patient Support System ). The recognition of emotion will enable the patient's emotional state to be inferred so that the proposed system can interact with it and recommend activities that combat a possible depression. Recognition of body gestures will allow SIAPA to identify the patient's posture on the bed over time, verifying the possibility of the appearance of pressure ulcers due to the fact that the patient remains in the same position for a long period of time. In this presentation, we will show the developmental steps of the SIAPA and give a brief introduction about the University of Pernambuco, host of such project.

Friday, 15.09.2017, 14:15, Room-F334, Department of Informatics

Speaker: Prof. Dr. Bruno José Torres Fernandes (University of Pernambuco, Brazil)