Wearable technologies for assisted mobility in the real world.

Area of Science:

• Rehabilitation Engineering
• Biomedical Engineering
• Human-Computer Interaction

Background:

• Mobility impairments significantly reduce independence and social participation.
• Traditional assistive devices struggle with adaptability in diverse environments.
• Emerging wearable technologies promise personalized and responsive mobility solutions.

Purpose of the Study:

• To review advances in wearable sensing and multimodal fusion for intelligent mobility assistance.
• To highlight the integration of cognitive-sensorimotor processes for enhanced device control.
• To discuss trends and challenges in developing user-centered assistive technologies.

Main Methods:

• Focus on wearable sensing technologies, including neural interfaces and electronics.
• Exploration of multimodal data fusion for recognizing user intent.
• Emphasis on adaptive control algorithms for exoskeletons, prosthetics, and smart wheelchairs.

Main Results:

• Wearable systems enable personalized and responsive mobility support.
• Multimodal fusion enhances intent recognition and environmental interaction.
• Cognitive-sensorimotor integration leads to more intuitive device control.

Conclusions:

• Intelligent, user-centered solutions are crucial for restoring function and autonomy.
• Advances in wearable technology promote greater accessibility and inclusion for individuals with mobility impairments.
• Further research in human-in-the-loop systems will drive innovation in assistive devices.