Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Automatic recognition of human affective states is still a largely unexplored and challenging topic. Even more issues arise when dealing with variable quality of the inputs or aiming for real-time, unconstrained, and person independent scenarios. ,  explore audio-visual multimodal emotion recognition.  present SAMMI, a framework designed to extract real-time emotion appraisals from non-prototypical, person independent, facial expressions and vocal prosody. Different probabilistic method for fusion are compared and evaluated with a novel fusion technique called NNET. Results shows that NNET can improve the recognition score (CR + ) of about 19% and the mean average precision of about 30% with respect to the best unimodal system.
['Marco Paleari', 'Rachid Benmokhtar', 'Benoit Huet']
I am writing a research paper on a idea Evidence Theory-Based Multimodal Emotion Recognition
[{"from": "human", "value": "I am writing a research paper on a idea Evidence Theory-Based Multimodal Emotion Recognition"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Automatic recognition of human affective states is still a largely unexplored and challenging topic. Even more issues arise when dealing with variable quality of the inputs or aiming for real-time, unconstrained, and person independent scenarios. ,  explore audio-visual multimodal emotion recognition.  present SAMMI, a framework designed to extract real-time emotion appraisals from non-prototypical, person independent, facial expressions and vocal prosody. Different probabilistic method for fusion are compared and evaluated with a novel fusion technique called NNET. Results shows that NNET can improve the recognition score (CR + ) of about 19% and the mean average precision of about 30% with respect to the best unimodal system."}]