Implementation of excellent tensile strain for sign language translation using wood-based finger-code supported by machine learning algorithms

Puntos clave

• Accurate sign language translation is achieved through tensile strain measurement and machine learning algorithms, enhancing understanding.
• The method utilizes a wooden finger-code system, contributing to a novel interaction tool for the deaf community.
• Machine learning algorithms analyze tensile strain, optimizing sign language recognition and improving communication effectiveness.
• This approach highlights the potential for advanced communication aids, yet its effectiveness is based on pilot testing, requiring further validation.