A Model for Automated Affect Recognition on Smartphone-Cloud Architecture

This paper proposes a model for automated affect recognition on a smartphone-cloud architecture. Whilst facial-mood recognition is becoming more advanced, our contribution is in analysis and classification of voice to supplement mood recognition. In the model we build upon previous work of others and supplement these with new algorithms.

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