The adoption of novel rehabilitative and assistive technologies still faces significant challenges,mostly due to the difficulty of meeting user needs.
This complex challenge encompasses the neurocognitive and biomechanical processes underlying the patient’s experience and behavior. Advantageous strategies to advance in this area require a continuing effort to mathematically model the patient for improving their interactions with any intelligent machine designed to aid recovery of their motor skills.
The goal of this workshop will be to update the audience of researchers, clinicians, and developers on these topics. After a brief introduction, 9 researchers (organizers and invited speakers) will describe effective and efficient solutions to represent patients interacting with rehabilitative and assistive robots according to a tri-lateral vision (evidence-based, model-based, digital-based).
Such a holistic perspective may lead to novel frameworks for precision medicine including human-centered robots able to provide personalized and adaptive treatments.