Algorithm for selecting appropriate transfer support equipment and a robot based on user physical ability.

Area of Science:

• Rehabilitation Engineering
• Biomechanics
• Assistive Technology

Background:

• Assistive robots for care are underutilized due to a lack of guidance on selecting appropriate devices.
• Users struggle to identify transfer support equipment matching their specific physical capabilities and needs.

Purpose of the Study:

• To propose an algorithm for selecting appropriate transfer support equipment and robots based on user physical ability.
• To investigate the relationship between physical human features and the burden during standing with support equipment.

Main Methods:

• Developed an algorithm for matching users with transfer support equipment and robots.
• Experimentally analyzed knee and ankle joint moments during standing with various support devices.
• Investigated the correlation between physical human features and joint moments.

Main Results:

• Identified specific standing support equipment suitable for different levels of user physical ability.
• An up/down seat is effective for individuals with low residual ability.
• Standing support robots are beneficial for those with knee limitations, while railings suit ankle limitations.

Conclusions:

• The proposed algorithm effectively matches users to appropriate assistive transfer devices.
• Understanding the relationship between physical ability and joint moments is crucial for effective assistive technology selection.
• Personalized selection of assistive equipment can enhance user mobility and reduce physical burden.