Programming by demonstration for the teaching and preservation of intangible cultural heritage

Melissa Montalvo, Eduardo Calle-Ortiz

Resultado de la investigación: Contribución a una conferenciaDocumento

Resumen

© 2017 IEEE. The present research describes the design and implementation of a programming by demonstration algorithm, where data is taken from a human narrator and then processed and imitated by the social robot Nao. This has been done by the use of artificial neural networks and inverse kinematics algorithms, resulting in a 7.25% trajectory difference when comparing the instructor movements with the robot learned movements. An exploratory study is also presented regarding recent advances in social robotics, affective computation, and human-machine interaction. These subjects are analyzed and an innovative way of integrating them as a tool for the narration and diffusion of legends and oral expressions in risk of disappearance is proposed. This work aims the new generations to renew their interest in traditional oral elements and actively involve them in the preservation and transmission of intangible cultural heritage.
Idioma originalInglés estadounidense
DOI
EstadoPublicada - 20 oct. 2017
EventoProceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017 - Cusco, Perú
Duración: 15 ago. 201717 ago. 2017

Conferencia

ConferenciaProceedings of the 2017 IEEE 24th International Congress on Electronics, Electrical Engineering and Computing, INTERCON 2017
Título abreviadoINTERCON 2017
País/TerritorioPerú
CiudadCusco
Período15/08/1717/08/17

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