Detecting and Classifying Human Touches in a Social Robot Through Acoustic Sensing and Machine Learning

An important aspect in Human–Robot Interaction is responding to different kinds of touch stimuli. To date, several technologies have been explored to determine how a touch is perceived by a social robot, usually placing a large number of sensors throughout the robot’s shell. In this work, we introdu...

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Detalles Bibliográficos
Autores principales: Alonso-Martín, Fernando, Gamboa-Montero, Juan José, Castillo, José Carlos, Castro-González, Álvaro, Salichs, Miguel Ángel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470814/
https://www.ncbi.nlm.nih.gov/pubmed/28509865
http://dx.doi.org/10.3390/s17051138

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470814/
https://www.ncbi.nlm.nih.gov/pubmed/28509865
http://dx.doi.org/10.3390/s17051138

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