Article

Convolutional and Recurrent Neural Network for Human Action Recognition: application on American Sign Language

2019-01-30

Abstract excerpt

Human Action Recognition (HAR) is an important and difficult topic because of the important variability between tasks repeated several times by a subject and between subjects. This work is motivated by providing time-series signal classification and a robust validation and test approaches. This study proposes to classify 60 American Sign Language signs from data provided by the LeapMotion sensor by using a combine...

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Literature Corpus work: 71c7a2d3-db26-5ebd-83ef-dae21d43adae
DOI: 10.1101/535492

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