Design of an exoskeleton as a finger-joint angular sensor.

Area of Science:

• Bioengineering
• Biomechanics
• Human Motion Analysis

Background:

• Accurate estimation of human joint angles is vital for numerous bioengineering applications.
• Existing angular joint sensors often require prior knowledge of joint motion type and location, limiting their versatility.
• The development of non-invasive and adaptable joint angle measurement systems remains an active research area.

Purpose of the Study:

• To present a novel exoskeleton design for measuring finger joint angular motion.
• To develop a sensor system that does not require specific hand anatomy or dimensional information.
• To create a system compatible with myoelectrical signal identification applications.

Main Methods:

• A custom-designed exoskeleton that fits the natural motion of the finger was developed.
• The angular displacement of the exoskeleton's links was correlated with the change in orientation of the finger's phalanges.
• The system was designed to operate independently of individual hand anatomical data.

Main Results:

• The proposed exoskeleton design successfully measures finger joint angular motion.
• The system provides accurate angular information without needing prior knowledge of hand anatomy or dimensions.
• The design is shown to be suitable for integration with myoelectrical signal identification.

Conclusions:

• The novel exoskeleton offers a versatile and adaptable solution for measuring finger joint angles.
• This approach simplifies the process of obtaining angular motion data, broadening its applicability in bioengineering.
• The developed system holds promise for advancing myoelectrical signal-based human-computer interaction and prosthetics.