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Emotion-Bracelet: A Web Service for Expressing Emotions through an Electronic Interface
Alicia Martinez1, Hugo Estrada2, Alejandra Molina3
1Computer Science Department, National Centre for Research and Technology Development, Cuernavaca 62490, Mexico. amartinez@cenidet.edu.mx.
The Emotion-Bracelet helps individuals with socialization challenges express emotions non-intrusively. This wearable device analyzes social media text to display emotional states via emoticons, enhancing social interaction.
Area of Science:
- Human-Computer Interaction
- Affective Computing
- Social Robotics
Background:
- Modern communication relies heavily on social networks, altering emotional expression.
- Individuals with socialization difficulties struggle with verbal emotional expression and interpretation.
- Existing methods for emotional expression may not be suitable for all individuals.
Purpose of the Study:
- To introduce a novel wearable device, the Emotion-Bracelet, for non-intrusive emotional expression.
- To develop a system capable of real-time analysis of emotional states from social media text.
- To aid individuals with socialization problems in expressing and interpreting emotions.
Main Methods:
- Development of a combined hardware (Emotion-Bracelet) and software system.
- Real-time text processing using a web service to identify emotional polarity and intensity.
- Display of emotional states using a LED matrix with five distinct emoticons (positive, very positive, negative, very negative, neutral).
Main Results:
- The Emotion-Bracelet successfully identifies and visualizes emotional states from social media text.
- The device provides a non-intrusive method for users to convey their emotions.
- The system demonstrates potential in bridging emotional communication gaps for individuals with socialization challenges.
Conclusions:
- The Emotion-Bracelet offers a novel approach to emotional communication, particularly for those with socialization difficulties.
- Real-time analysis of social media sentiment can be effectively translated into visual emotional cues.
- This technology has the potential to enhance social interaction and emotional understanding.
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