In crime detection, the CNN model achieves a remarkable accuracy of 92.45% and in criminal emotion detection, LeNet-5 outperforms other CNN architectures by offering an accuracy of 98.6%.doi:10.1038/s41598-025-97879-3Raval, JayJadav, Nilesh KumarTanwar, SudeepPau, GiovanniAlqahtani, FayezTolba, AmrNature Publishing Group UKScientific Reports
论文题目:Facial Emotion Detection Using Deep Learning 作者:Akriti Jaiswal; A. Krishnama Raju; Suman Deb 期刊:IEEE 发表时间:2020 链接:IEEE Xplore - Temporarily Unavailable 研究目的 本研究主要目标是开发一个基于卷积神经网络(CNN)的人工智能系统,用以从面部表情中准确识别人类情绪。在日常交流中,情绪的理解...
Deep region and multi-label learning for facial action unit detection. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 3391–3399 (2016). Fan, Y., Lu, X., Li, D. & Liu, Y. Video-based emotion recognition using CNN-RNN and C3D hybrid networks. In ...
6th SEM MCA Major Project. Contribute to 0xch25/Human-Facial-Emotion-recognition-with-pulse-detection-using-CNN development by creating an account on GitHub.
Facial identification expression-based attendance monitoring and emotion detection—A deep CNN approach 3.2Emotion recognition The process ofemotion detectionis carried out by identifying facial expressions as this is a convenient aspect to monitor during online classes. A practical implementation of emotion...
Speech Emotion Detection using SVM, Decision Tree, Random Forest, MLP, CNN with different architectures Topics deep-neural-networks deep-learning svm machine-learning-algorithms cnn ipynb mlp speech-emotion-detection ravdass Resources Readme License MIT license Activity Stars 35 stars Watchers ...
[21] proposed developing a multimodal emotion detection model, which was then built with the use of learning on manifolds in conjunction with a CNN. The outputs from the peripheral physiological sensors and the signals from the eye movement sensors are combined with the data from the EEG, which...
Most of the humans express their feelings through face, so that we can detect their emotion from their facial expression. To achieve this, we follow certain functions which includes integrated and trained model like OpenCV, TensorFlow and integrated CNN model to detect the facial expression and ...
Additionally, it has been observed that there is limited work available for speech emotion detection using the Punjabi language. Another shortcoming is the non-availability of public datasets in the Punjabi language. To address this issue a novel dataset is created by the researcher. It is analyzed...
(CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Units (GRU), and their bi-directional variants, transformer-based models like BERT have proved highly effective in natural language processing tasks such as sentiment analysis, emotion detection. Advanced deep ...