EmoBed Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings
Product Description
- Alternative title: Social and Emotional Context analysis using Gradient Boosted SAM algorithm
DEEP LEARNING / ARTIFICIAL INTELLIGENCE
Abstract
Automated emotion detection systems are required in current scenarios in order to determine the user’s real emotion. Emotions on certain things are important to make a clear view on people’s attraction and interest. In the existing system, RECOLA database is used for emotion detection. In the proposed system, AMIGOS dataset enabled emotion detection system is evaluated. Gradient boost snapped statistical analysis model(GBSAM) is implemented in which the preprocessed emotion vectors of EEG,ECG,GSR from AMIGOS dataset is developed here. The proposed architecture is tested with existing method in terms of accuracy and decreased error rate.
Proposed system
In the proposed system, AMIGOS dataset enabled emotion detection system is evaluated. Gradient boost snapped statistical analysis model(GBSAM) is implemented in which the preprocessed emotion vectors of EEG,ECG,GSR from AMIGOS dataset is developed here.
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Mini Projects - Hardware includes
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- Datasheets
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The Delivery time for Hardware Mini projects is 7-8 working days.