Biosignal-integrated robotic systems with emerging trends in visual interfaces: A systematic review

Area of Science:

• Robotics and Human-Computer Interaction
• Biomedical Engineering
• Wearable Technology

Background:

• Human-machine interfaces (HMI) currently focus on one-way data transmission from human to machine.
• A significant gap exists in effectively conveying information back to the user for mutual understanding.
• Biosignal integration in wearable robotics offers a potential solution for bidirectional communication.

Purpose of the Study:

• To review recent advancements in biosignal-integrated wearable robotics.
• To emphasize visualization techniques for presenting data and feedback to users.
• To explore the potential for enhanced human-machine mutual understanding.

Main Methods:

• Review of literature on biosignal-integrated wearable robotics.
• Analysis of various biosignals (e.g., electroencephalograms, electromyograms).
• Examination of novel sensor architectures, materials, control, and mechanical design in wearable robotics.
• Discussion of current visualization methods.

Main Results:

• Identification of key advancements in wearable robotics and biosignal integration.
• Exploration of diverse sensor technologies and materials.
• Assessment of current visualization strategies for user feedback.
• Highlighting the potential of bidirectional information flow in HMI.

Conclusions:

• Effective visualization is crucial for enabling mutual understanding in human-machine systems.
• Biosignal-integrated wearable robotics show promise for applications beyond healthcare, including manufacturing and defense.
• Further research into advanced sensor technology and visualization methods is needed to fully realize bidirectional HMI capabilities.