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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2017
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| Materias: | |
| 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 |