A video dataset on agricultural words in Indian sign language
The dataset includes the videos of the dynamic hand gestures for the agricultural words from Indian sign language (ISL). This dataset is used in a work on the recognition of hand gestures for the Indian sign language (ISL) words commonly used by deaf farmers. A hybrid deep learning model with convolutional long short term memory (LSTM) network has been exploited for gesture classification. The model has attained an average classification accuracy of 76.21% on the proposed dataset of ISL words from the agricultural domain. The work is published in the journal Expert Systems with Applications https://www.sciencedirect.com/science/article/abs/pii/S0957417421010009.