MediSign: An Attention-Based CNN-BiLSTM Approach of Classifying Word Level Signs for Patient-Doctor Interaction in Hearing Impaired Community
Md. Amimul Ihsan,
Abrar Faiaz Eram,
Lutfun Nahar
et al.
Abstract:Along with day-to-day communication, receiving medical care is quite challenging for the deaf and mute population, especially in developing countries where medical facilities are not as modernized as in the West. A word-level sign language interpretation system that is aimed toward detecting medically relevant signs can allow smooth communication between doctors and deaf patients, ensuring seamless medical care. To that end, a dataset from twenty distinct signers of diverse backgrounds performing 30 frequently… Show more
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