Improving deaf people accessibility and communication through automatic sign language recognition using novel technologies

dc.creatorQuesada Quirós, Luis
dc.creatorLópez Herrera, Gustavo
dc.creatorGuerrero Blanco, Luis Alberto
dc.date.accessioned2018-01-18T21:34:11Z
dc.date.accessioned2022-10-20T01:19:17Z
dc.date.available2018-01-18T21:34:11Z
dc.date.available2022-10-20T01:19:17Z
dc.date.created2018-01-18T21:34:11Z
dc.date.issued2016
dc.identifierhttps://link.springer.com/chapter/10.1007%2F978-3-319-41962-6_44
dc.identifier978-3-319-41961-9
dc.identifier978-3-319-41962-6
dc.identifierhttps://hdl.handle.net/10669/73888
dc.identifier10.1007/978-3-319-41962-6_44
dc.identifier320-B5-291
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4539385
dc.description.abstractCommunication is a key for human development. Nevertheless, deaf people have difficulty interacting with hearing and hard of hearing people. On the other hand, new technology allows gesture recognition. This work aims to promote the development of tools to take advantage of 3D camera technology for the benefit of the Deaf Community around the world. This research proposes a sign recognition model using 3d cameras (i.e. Leap Motion and Intel RealSense) and support vector machines (SVM). The goal is to support the communication process between deaf and hearing people. Furthermore, we conduct an experiment determining an appropriate amount of training sample signs to ensure satisfactory results using SVMs.
dc.languageen_US
dc.sourceAdvances in Design for Inclusion (pp 497-507).Switzerland: Springer, Cham
dc.subjectSign language recognition American sign language Leap motion Intel realsense
dc.subjectSign language recognition
dc.subjectAmerican sign language
dc.subjectLeap motion Intel realsense
dc.titleImproving deaf people accessibility and communication through automatic sign language recognition using novel technologies
dc.typeartículo científico


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