American Sign Language Translation using hand pose estimation

American Sign Language Translation using hand pose estimation

Nikhil Kasukurthi

Nikhil Kasukurthi

Vellore, Tamil Nadu

Using the key points of hand, a sequence to sequence model can be trained with vectors of the hand pose.

Artificial Intelligence

Description

Sign language translation has been a long standing computer vision problem. Almost all the approaches so far require special hardware for effective results. In this approach, hand pose estimation will be used to extract the locations of key points of a hand and then they will be fed as inputs to the encoder in the sequence to sequence model. Using CTC, the relevant hand pose vectors can be matched with corresponding translations. For the entire model to work, a large dataset of sign language is needed.

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Nikhil K. created project American Sign Language Translation using hand pose estimation

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American Sign Language Translation using hand pose estimation

Sign language translation has been a long standing computer vision problem. Almost all the approaches so far require special hardware for effective results. In this approach, hand pose estimation will be used to extract the locations of key points of a hand and then they will be fed as inputs to the encoder in the sequence to sequence model. Using CTC, the relevant hand pose vectors can be matched with corresponding translations. For the entire model to work, a large dataset of sign language is needed.

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