Sign language trainer using leap motion

Christian Feicán, Julio Cabrera, John Arévalo, Edy Ayala, Fernando Guerrero, Eduardo Pinos

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Learning a sign language can be a long process, but necessary to improve the communication of people, nowadays you need face-to-face courses. To facilitate the learning of Ecuadorian Sign Language and make it more interactive, a software trainer is proposed using the Leap Motion® device. The system is based on an SVM classifier, the parameters were calculated to obtain greater efficiency in the classifier. It is able to predict signs from A to Z including mobile signs, the Ecuadorian typographic alphabet has 30 letters and 5 require movement. The system was trained with a database of 40 people resulting in 1200 signs.

Original languageEnglish (US)
Title of host publicationSign language trainer using leap motion
EditorsTerence Andre
Number of pages12
ISBN (Electronic)9783319600178
StatePublished - 1 Jan 2018
EventAdvances in Intelligent Systems and Computing - , Germany
Duration: 1 Jan 2015 → …

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357


ConferenceAdvances in Intelligent Systems and Computing
Period1/01/15 → …


  • Ecuadorian Sign Language
  • Human factors in education
  • Human factors in training
  • Leap motion
  • Support vector machine


Dive into the research topics of 'Sign language trainer using leap motion'. Together they form a unique fingerprint.

Cite this