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Emotion-Bracelet: A Web Service for Expressing Emotions through an Electronic Interface

Computer Science Department, National Centre for Research and Technology Development, Cuernavaca 62490, Mexico
INFOTEC Center for Research and Innovation in Information Technology and Communications, Mexico City 14050, Mexico
Author to whom correspondence should be addressed.
Academic Editor: Miguel González-Mendoza
Sensors 2016, 16(12), 1980;
Received: 1 June 2016 / Revised: 23 October 2016 / Accepted: 9 November 2016 / Published: 24 November 2016
PDF [3969 KB, uploaded 24 November 2016]


The mechanisms to communicate emotions have dramatically changed in the last 10 years with social networks, where users massively communicate their emotional states by using the Internet. However, people with socialization problems have difficulty expressing their emotions verbally or interpreting the environment and providing an appropriate emotional response. In this paper, a novel solution called the Emotion-Bracelet is presented that combines a hardware device and a software system. The proposed approach identifies the polarity and emotional intensity of texts published on a social network site by performing real-time processing using a web service. It also shows emotions with a LED matrix using five emoticons that represent positive, very positive, negative, very negative, and neutral states. The Emotion-Bracelet is designed to help people express their emotions in a non-intrusive way, thereby expanding the social aspect of human emotions. View Full-Text
Keywords: the Emotion-Bracelet; polarity; emotions the Emotion-Bracelet; polarity; emotions

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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MDPI and ACS Style

Martinez, A.; Estrada, H.; Molina, A.; Mejia, M.; Perez, J. Emotion-Bracelet: A Web Service for Expressing Emotions through an Electronic Interface. Sensors 2016, 16, 1980.

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