02250nas a2200289 4500000000100000000000100001008004100002260001200043653002800055653001600083653002000099653001400119653002400133100002500157700002300182700001700205700001700222700001800239700001800257700001900275245017500294856009900469300001000568490000600578520136200584022001401946 2019 d c09/201910aArtificial Intelligence10aInteraction10aVirtual Reality10aParkinson10aCognitive Computing1 aJuan Manuel Lombardo1 aMiguel Angel Lopez1 aFelipe Miron1 aMabel López1 aMónica León1 aJon Arambarri1 aDavid Álvarez00aMOBEEZE. Natural Interaction Technologies, Virtual Reality and Artificial Intelligence for Gait Disorders Analysis and Rehabilitation in Patients with Parkinson's Disease uhttps://www.ijimai.org/journal/sites/default/files/files/2019/07/ijimai20195_6_7_pdf_12627.pdf a54-620 v53 aParkinson's Disease (PD) is the most common degenerative disorder after Alzheimer's disease. Generally affecting elderly groups, it has a strong limiting effect on physical functioning and performance of roles, vitality and general perception of health. Since the disease is progressive, the patient knows he's going to get worse. The deterioration is significant not only in mobility but also in pain, social isolation, and emotional reactions. Freezing is a phenomenon associated with this disease and it is characterized by a motor disorder that leaves the patient literally stuck to the ground. Mobeeze is designed with the main objective of providing health personnel with a tool to analyse, evaluate and monitor the progress of patients’ disorders as well as the personalization and adaptation of rehabilitation sessions in patients with Parkinson's disease. Based on the characteristics measured in real time which will allow the strengthening effects of rehabilitation and help to assimilate them in the long term. The creation of Mobeeze allows the constitution of a system of analysis and evaluation of march disorders in real time, through natural interaction, virtual reality and artificial intelligence. In this project, we will analyse if these non-invasive technologies reduce the stress induced to the patient when he is feeling evaluated. a1989-1660