About this Research Topic
Biomedical signals-based human-computer interfaces enable additional ways for humans to interact with the physical world, besides other modalities like motion and language. Creating additional interaction pathways between humans and the physical world – mostly miscellaneous devices – are challenging. Most human-computer interface applications are focused on medical-related scenarios due to the low maturity level of existing technologies. Such interfaces have the potential to fundamentally change current methods of interacting with external devices for a broad variety of applications, including assistive devices for patients with disabilities, rehabilitative devices for patients with recovery needs, and diagnosis devices that detect biomarkers for specific diseases.
Currently, biomedical signals-based human-computer interfaces suffer from such drawbacks as inconvenient system setup, and relatively low performance in classification accuracy and system stability, which are major hurdles for the application of human-computer interfaces on a daily basis. The goal of this Research Topic is to provide a forum for researchers in the field to share their latest research achievements in this area and present novel methods for human-computer interfaces involved in everyday scenarios, such as medical, recreational and educational applications, which may bring human-computer interfaces into a wider range of applications.
This Research Topic welcomes contributions that provide insight into novel algorithms and frameworks for human-computer interfaces for activity assistance and performance augmentation. Submissions can focus on specific framework components – for example, novel signal acquisition methods – but should explore how the contribution fits into existing or future human-computer interaction frameworks for interaction between humans and external devices.
Topics of interest include, but are not limited to:
- Novel biomedical signal acquisition methods
- Algorithms and biomedical signal processing methods
- Robotics with novel interaction methods for assistance and performance augmentation
- Human-computer interface application cases (feasibility or validity)
- Interfacing security
- Complete human-computer interface frameworks
Currently, biomedical signals-based human-computer interfaces suffer from such drawbacks as inconvenient system setup, and relatively low performance in classification accuracy and system stability, which are major hurdles for the application of human-computer interfaces on a daily basis. The goal of this Research Topic is to provide a forum for researchers in the field to share their latest research achievements in this area and present novel methods for human-computer interfaces involved in everyday scenarios, such as medical, recreational and educational applications, which may bring human-computer interfaces into a wider range of applications.
This Research Topic welcomes contributions that provide insight into novel algorithms and frameworks for human-computer interfaces for activity assistance and performance augmentation. Submissions can focus on specific framework components – for example, novel signal acquisition methods – but should explore how the contribution fits into existing or future human-computer interaction frameworks for interaction between humans and external devices.
Topics of interest include, but are not limited to:
- Novel biomedical signal acquisition methods
- Algorithms and biomedical signal processing methods
- Robotics with novel interaction methods for assistance and performance augmentation
- Human-computer interface application cases (feasibility or validity)
- Interfacing security
- Complete human-computer interface frameworks
Keywords: human-computer interfaces, brain-computer interfaces, rehabilitation, orthosis, biomarker
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
