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
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