Smart Gloves for People with Speech Disability
Oishik Chowdhury, Md. Shakib Rahman Hridoy, Farjahad Amin, Shah Arif, Halima Begum · 2023
People with speech disabilities face difficulties to interact and communicate effectively. They mostly rely on sign language, which is not understood by the general people. To help the speech disabled community to get better employment opportunities and most importantly to help them lead a normal life, we have proposed a system to convert Bangla sign language to spoken Bangla words. The signs (i.e., gestures) made by a speech disabled person will be captured through different sensors positioned on a glove, and the gestures are then processed to produce the corresponding Bangla words. This paper describes the design methodology of the system and the performance of the implemented prototype. The performance analysis indicates that our prototype can identify Bangla signs with 88.97% accuracy.