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COBTEK

CoBTeK lab (Cognition Behavior Technology) is a research group (EA 7276) at the Université Côte d'Azur that was set up in partnership with INRIA in 2011. The team aims to develop research into the use of information and communication technologies for the prevention, diagnosis and treatment of neuropsychiatric and neurodevelopmental pathologies.

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3D environments Older adults Screening Treatment Assistance Alzheimers-disease Alzhiemer's disease Information and communication technologies Maladie d'Alzheimer Instrumental activities of daily living Antipsychotiques Emotions ICT Age Factors Dyslexia Assessment Dementia with Lewy bodies Mild cognitive impairment Virtual reality Exercice physique Autonomy Emotion Neuropsychiatric symptoms Administrative database Autism spectrum disorder Adhd Attention Alzheimer Accelerometer Amyloid hypothesis Motivation Alzheimer disease Alzheimer’s disease Technologies de l'information et de la communication TIC Behavior problems Neuropsychiatry Apathy 360° videos Depression Health & self-esteem Troubles neurocognitifs Antidépresse Gaussian Process Activities of daily living Arts Behaviour Serious games Base de données administrative Autism Spectrum Disorder Multiple sensors monitoring systems Aerobic activity Alzheimer's disease Dementia Clinical trials Actigraphy Bayesian modeling 80 and over Behavior Interaction Elderly Physical exercise Antipsychotique Occupational health Activity recognition Apathie Video analyses Automatic parameter tuning Automatic video behavioural disorders Neurocognitive disorders Adverse events Assisted living Prevention Neurodegenerative disorders Alzheimer Disease Primary progressive aphasia Amotivation Brain disorders Speech analysis Audio analysis Serious Game Algorithm Stress disorders Aged Machine Learning Antipsychotics Banque nationale Alzheimer Atrophie corticale postérieure Gait User study MCI ADHD Training Biomarkers Address STARS team -INRIA Sophia Aphasie primaire progressive Assistive technologies Automatic speech analysis Alzheimer's Disease Machine learning Hospital staff