Sensors and Sensing Technologies for Rehabilitation in Robot-Assisted Healthcare

Dear Colleagues,

The accelerated advancement of sensory technologies has driven a significant transformation in the field of rehabilitation, particularly in robot-assisted environments. The integration of motion sensors, multisensory systems, wearable sensors, and immersive technologies such as virtual reality (VR) and augmented reality (AR) has enabled the development of more precise, personalized, and motivating therapeutic interventions. These tools have proven to be especially useful in the treatment of neurodegenerative diseases and sensory motor disorders, improving clinical assessment, treatment adherence, and patient functionality.

Applications based on head-mounted displays (HMDs), telerehabilitation platforms, and serious games allow both more interactive rehabilitation, but also the remote monitoring of therapeutic progress, favoring more accessible and sustainable care models. In addition, the incorporation of artificial intelligence and machine learning opens up new possibilities for advanced data analysis, motor performance prediction, and dynamic adaptation of therapies.

This Special Issue aims to bring together cutting-edge research related to the design, implementation, and validation of sensing technologies applied to robotic rehabilitation. Academics, clinicians, and industrial researchers are invited to submit original studies and systematic reviews in this emerging, multidisciplinary area.

• Development and application of motion sensors for robotic rehabilitation.
• Wearable sensor technologies for monitoring patients with motor disorders and neurodegenerative diseases.
• Immersive systems for rehabilitation: virtual reality (VR), augmented reality (AR), and HMD-based technologies.
• Telerehabilitation platforms with sensory integration for remote therapy.
• Use of serious games as sensor-assisted therapeutic tools.
• Multisensory systems for real-time assessment and feedback during rehabilitation processes.
• Artificial intelligence and machine learning applications in the interpretation of sensory data.
• Sensor-mediated human-robot interaction for functional assessment and assistance.
• Clinical validation of sensory technologies in the treatment of neuromuscular disorders.
• User-centered design and usability of sensory devices for clinical and home settings.

Dr. Guillermo Palacios-Navarro
Prof. Dr. Víctor H. Andaluz
Dr. Jessica S. Ortiz
Guest Editors

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