Abstract
The paper presents a personal training system that allows the user to use non-verbal communication techniques that help him improve his way of speaking in public. The tool is a software solution that implements algorithms to identify elements of non-verbal communication (NVC), such as the positions of the head, hands and trunk of the users making use of cascading classifiers. It presents the developed technology and the different characteristics of the application that is an important part of the treatment in artificial vision techniques in the detection of NVC and its training.
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Acknowledgments
This work was carried out under the frame of the “SURF: Arquitectura autoorganizativa de sensores y biometría para el control dinámico de vehículos en ciudades inteligentes Ref. TIN2015-65515-C4-3-R” project. The project was supported and funded by the Spanish Ministerio de Economía, Industria y Competitividad. Retos de investigación, Proyectos I+D+i.
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Pertierra, Á.P., Gil González, A.B., Lafuente, J.T., de Luis Reboredo, A. (2018). Communication Skills Personal Trainer Based on Viola-Jones Object Detection Algorithm. In: Yin, H., Camacho, D., Novais, P., Tallón-Ballesteros, A. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2018. IDEAL 2018. Lecture Notes in Computer Science(), vol 11314. Springer, Cham. https://doi.org/10.1007/978-3-030-03493-1_75
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DOI: https://doi.org/10.1007/978-3-030-03493-1_75
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