Recent advances to design and connect brain-machine interfaces (BMIs) to physical and virtual objects through the Internet provide an opportunity for the coupling of these technologies into a ‘BMI-of-things’ (BMIoT) for consumer, smart health, smart buildings, smart workplace/industry 4.0, smart information, smart service, art, entertainment, design, gaming, VR/AR, and military applications. Current research on BMIoT include data transfer protocols, neural information content, security and privacy, standards and interoperability, ethics, hyper-scanning, human-in-the-loop, collective intelligence, ergonomics, context-awareness and perception, interpretable AI, usability, and on the field testing and validation of these technologies. BMIoT could be a valuable and inclusive neurotechnology for individuals with disabilities and others to communicate and control home and office appliances, automobiles, workplace devices, and toys. At the same time, BMIoT raises a number of questions related to neuroethics and cybersecurity.
Brain-machine interfaces, AI/ML mobile brain-body imaging technologies and other wearables are key sensing and analytical technologies for personalized healthcare, rehabilitation, mobility, retail, gaming, human-robot interaction, neuroarts, educational, and other applications with unresolved standardized BMIoT architectures for neurotechnologies and interoperability posing significant challenges. It is likely that other types of virtual and/or physical devices or objects (“things”) embedded with sensors, software and other technologies will be designed to allow them to connect and interact with human agents through BMI systems.
This Research Topic will cover the state of the art of BMIoT architectures and neuroengineering applications, identify challenges and opportunities, and lead a roadmap for BMIoT. We welcome articles on the following topics:
• BMI control of instrumented objects (virtual or physical) for smart health, smart home, smart buildings, smart workplace/industry 4.0 mobility, retail, gaming, assistance, rehabilitation, human-robot interaction, neuroarts, entertainment, educational, VR/AR, industrial and other applications.
• AI/ML applications in BMIoT
• Interoperability and standards of BMI and IoT
• Multibrain and collective intelligence in BMIoT applications
• Ethics, safety, data security and privacy considerations
• Ergonomics and sociotechnical investigations of BMIoT systems
• Submissions are welcome of the following articles Types: Brief Research Report, Case Report, Clinical Trial, Community Case Study, Correction, Data Report, Editorial, General Commentary, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research.
Recent advances to design and connect brain-machine interfaces (BMIs) to physical and virtual objects through the Internet provide an opportunity for the coupling of these technologies into a ‘BMI-of-things’ (BMIoT) for consumer, smart health, smart buildings, smart workplace/industry 4.0, smart information, smart service, art, entertainment, design, gaming, VR/AR, and military applications. Current research on BMIoT include data transfer protocols, neural information content, security and privacy, standards and interoperability, ethics, hyper-scanning, human-in-the-loop, collective intelligence, ergonomics, context-awareness and perception, interpretable AI, usability, and on the field testing and validation of these technologies. BMIoT could be a valuable and inclusive neurotechnology for individuals with disabilities and others to communicate and control home and office appliances, automobiles, workplace devices, and toys. At the same time, BMIoT raises a number of questions related to neuroethics and cybersecurity.
Brain-machine interfaces, AI/ML mobile brain-body imaging technologies and other wearables are key sensing and analytical technologies for personalized healthcare, rehabilitation, mobility, retail, gaming, human-robot interaction, neuroarts, educational, and other applications with unresolved standardized BMIoT architectures for neurotechnologies and interoperability posing significant challenges. It is likely that other types of virtual and/or physical devices or objects (“things”) embedded with sensors, software and other technologies will be designed to allow them to connect and interact with human agents through BMI systems.
This Research Topic will cover the state of the art of BMIoT architectures and neuroengineering applications, identify challenges and opportunities, and lead a roadmap for BMIoT. We welcome articles on the following topics:
• BMI control of instrumented objects (virtual or physical) for smart health, smart home, smart buildings, smart workplace/industry 4.0 mobility, retail, gaming, assistance, rehabilitation, human-robot interaction, neuroarts, entertainment, educational, VR/AR, industrial and other applications.
• AI/ML applications in BMIoT
• Interoperability and standards of BMI and IoT
• Multibrain and collective intelligence in BMIoT applications
• Ethics, safety, data security and privacy considerations
• Ergonomics and sociotechnical investigations of BMIoT systems
• Submissions are welcome of the following articles Types: Brief Research Report, Case Report, Clinical Trial, Community Case Study, Correction, Data Report, Editorial, General Commentary, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research.
