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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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Shranjeno v:
Bibliografske podrobnosti
izdano v:Sensors (Basel)
Main Authors: Alonso-Martín, Fernando, Gamboa-Montero, Juan José, Castillo, José Carlos, Castro-González, Álvaro, Salichs, Miguel Ángel
Format: Artigo
Jezik:Inglês
Izdano: MDPI 2017
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC5470814/
https://ncbi.nlm.nih.gov/pubmed/28509865
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s17051138
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