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This Special Issue will focus on assistive technology (AT) to address biomechanical and control of movement issues in individuals with impaired health, whether as a result of disability, disease, or injury. All over the world, technologies are developed that make human life richer and more comfortable. However, there are people who are not able to benefit from these technologies. Research can include development of new assistive technology to promote more effective movement, the use of existing technology to assess and treat movement disorders, the use and effectiveness of virtual rehabilitation, or theoretical issues, such as modeling, which underlie the biomechanics or motor control of movement disorders. This Special Issue will also cover Internet of Things (IoT) sensing technology and nursing care robot applications that can be applied to new assistive technologies. IoT includes data, more specifically gathering them efficiently and using them to enable intelligence, control, and new applications.

Self-help devices for people with disabilities. --- Assistive technology --- Self-help devices for the disabled --- People with disabilities

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The field of Brain–Computer Interfaces (BCIs) has grown rapidly in the last few decades, allowing the development of faster and more reliable assistive technologies based on direct links between the brain and an external device. Novel applications of BCIs have also been proposed, especially in the area of human augmentation, i.e., enabling people to go beyond human limitations in sensory, cognitive and motor tasks. Brain-imaging techniques, such as electroencephalography, have been used to extract neural correlates of various brain processes and transform them, via machine learning, into commands for external devices. Brain stimulation technology has allowed to trigger the activation of specific brain areas to enhance the cognitive processes associated to the task at hand, hence improving performance. BCIs have therefore extended their scope from assistive technologies for people with disabilities to neuro-tools for human enhancement. This Special Issue aims at showing the recent advances in BCIs for human augmentation, highlighting new results on both traditional and novel applications. These include, but are not limited to, control of external devices, communication, cognitive enhancement, decision making and entertainment.

n/a --- SIFT --- brain-computer interfaces --- P300 --- brain–computer interfaces --- complete locked-in state --- Brain–Computer Interface (BCI) --- electroencephalography (EEG) --- SHCC --- speller --- SSVEP --- human performance --- superintelligence --- MI --- communication --- electroencephalography --- 20-questions-game --- MP --- indoor room temperature --- office-work tasks --- augmented cognition --- heuristic search --- performance prediction --- p300 --- Graphical User Interface (GUI) --- hybrid --- Artificial Neural Network --- PE --- brain computer interface --- waveform --- Neuroergonomics. --- Brain-computer interfaces. --- Self-help devices for people with disabilities.. --- Assistive technology --- Self-help devices for the disabled --- People with disabilities --- BCIs (Brain-computer interfaces) --- Brain-machine interfaces --- Computer-brain interfaces --- Direct neural interfaces --- User interfaces (Computer systems) --- Cognitive neuroscience --- Human engineering --- Brain-Computer Interface (BCI)