Recent developments in computing technologies have offered an avenue to develop assistive platforms to serve individuals with neurological and neurodevelopmental disorders. Interactive platforms in a form of human-computer interactions and/or the sensory devices that are either attached to the individuals or remotely located have been shown to help in the monitoring of the progress in real-time intervention/rehabilitation training. Since the pandemic hit the world most of the in-person intervention/rehabilitation training are affected and these individuals do not get frequent monitoring in their progress. However, by utilizing adaptive computing technologies, real-time training for these individuals can be made possible while the rehabilitation platform can autonomously understand and track the individual’s progress in a form of performance and physiological indices. The physiological indices could include gaze data, cardiac response, brain signals, electrodermal activity, respiratory rate, electromyogram, amongst others. This information can be offered to the facilitators which can help in having timely modulation in the training paradigm. Apart from training the individuals with neurological/neurodevelopmental disorders, a portable digital or sensory phenotyping tool can help in the early diagnosis of the symptoms that can help in offering early intervention/rehabilitation.
The goal of this Research Topic is to investigate these recent technologies such as sensors, devices, human-computer interaction platforms, that can work autonomously or help serve as assistive tools in the hands of practitioners. The Research Topic will highlight the development of devices and interactive platforms that can be served in a clinical setting. Usability studies in clinical settings or comparative analysis of the advanced technology with traditional technologies can be explored. We aim to highlight the usage of these technologies that can help benefit the better and enhance the living of individuals with neurodevelopmental disorders (e.g., autism, language delay, developmental delay, more) and neurological disorders (e.g., stroke, Parkinson’s, Alzheimer's, more). Review and meta-analysis of the currently existing platforms, their uses, future directions, and suggestions for improvement in such technologies in this field of research are particularly welcome.
The following topics are encouraged (but not limited to) for submission to this Research Topic involving neurodevelopmental or neurological disorders:
• Human-computer interaction platforms;
• Interactive application in mobile or tablet-based platforms;
• Virtual or Augmented Reality platforms;
• Physiological sensing systems;
• Affective computing or affect sensitive systems;
• Autonomous or adaptive platforms;
• Devices or sensors combined to a user interface to monitor real-time data;
• Algorithms to estimate behavioral biomarkers for diagnosis or treatment monitoring;
• Artificial intelligence that can help autonomous decisions in adaptive interactive platforms.
Recent developments in computing technologies have offered an avenue to develop assistive platforms to serve individuals with neurological and neurodevelopmental disorders. Interactive platforms in a form of human-computer interactions and/or the sensory devices that are either attached to the individuals or remotely located have been shown to help in the monitoring of the progress in real-time intervention/rehabilitation training. Since the pandemic hit the world most of the in-person intervention/rehabilitation training are affected and these individuals do not get frequent monitoring in their progress. However, by utilizing adaptive computing technologies, real-time training for these individuals can be made possible while the rehabilitation platform can autonomously understand and track the individual’s progress in a form of performance and physiological indices. The physiological indices could include gaze data, cardiac response, brain signals, electrodermal activity, respiratory rate, electromyogram, amongst others. This information can be offered to the facilitators which can help in having timely modulation in the training paradigm. Apart from training the individuals with neurological/neurodevelopmental disorders, a portable digital or sensory phenotyping tool can help in the early diagnosis of the symptoms that can help in offering early intervention/rehabilitation.
The goal of this Research Topic is to investigate these recent technologies such as sensors, devices, human-computer interaction platforms, that can work autonomously or help serve as assistive tools in the hands of practitioners. The Research Topic will highlight the development of devices and interactive platforms that can be served in a clinical setting. Usability studies in clinical settings or comparative analysis of the advanced technology with traditional technologies can be explored. We aim to highlight the usage of these technologies that can help benefit the better and enhance the living of individuals with neurodevelopmental disorders (e.g., autism, language delay, developmental delay, more) and neurological disorders (e.g., stroke, Parkinson’s, Alzheimer's, more). Review and meta-analysis of the currently existing platforms, their uses, future directions, and suggestions for improvement in such technologies in this field of research are particularly welcome.
The following topics are encouraged (but not limited to) for submission to this Research Topic involving neurodevelopmental or neurological disorders:
• Human-computer interaction platforms;
• Interactive application in mobile or tablet-based platforms;
• Virtual or Augmented Reality platforms;
• Physiological sensing systems;
• Affective computing or affect sensitive systems;
• Autonomous or adaptive platforms;
• Devices or sensors combined to a user interface to monitor real-time data;
• Algorithms to estimate behavioral biomarkers for diagnosis or treatment monitoring;
• Artificial intelligence that can help autonomous decisions in adaptive interactive platforms.
