Emotion detectionDeep learningLSTMBi-LSTMBERTAlong with the growth of Internet with its numerous potential applications and diverse fields, artificial intelligence (AI) and sentiment analysis (SA) have become significant and popular research areas. Additionally, it was a key technology that contributed ...
Writers: Yi Ding, Neethu Robinson, Qiuhao Zeng, Duo Chen, Aung Aung Phyo Wai, Tih-Shih Lee, Cuntai Guan PDF:TSception: A Deep Learning Framework for Emotion Detection Using EEG Abstract In this paper, we propose a deep learning framework, TSception, for emotion detection from electroencephalog...
Real-time Facial Emotion Detection using deep learning opencvcomputer-visiondeep-learningtflearnopencv-pythonhaar-cascadeemotion-detectionemotion-recognition UpdatedAug 30, 2024 Python maelfabien/Multimodal-Emotion-Recognition Star906 Code Issues Pull requests ...
Survey on Facial Emotion Recognition and Detection Using Deep Learning Facial emotion recognition is a vast and complex problem space within the domain of computer vision and thus requires a universally accepted baseline metho... VS Nikhitha,KVS Divya,R Shreya - IJIRT(www.ijirt.org) 被引量: ...
Attention-Enabled Ensemble Deep Learning Models and Their Validation for Depression Detection: A Domain Adoption Paradigm 2023, Diagnostics Explainable Emotion Recognition from Tweets using Deep Learning and Word Embedding Models 2022, INDICON 2022 - 2022 IEEE 19th India Council International Conference View...
This article reviews and compares existing studies onemotion detectionusingEEGsignals. • This paper presents standard datasets, emotion elicitation materials, EEG devices, and the influences of artifacts onbrainwaves. • We then describe theoretical conceptualization of basic emotions, and interpret the...
Deep Learning Methods for Multi-Channel EEG-Based Emotion Recognition Ali Olamat, Pinar Ozel, and Sema Atasever International Journal of Neural SystemsVol. 32, No. 05 COVID-Attention: Efficient COVID19 Detection Using Pre-trained Deep Models Based on Vision Transformers and X-ray Images Imed-Ed...
Speech emotion recognition and classification using hybrid deep CNN and BiLSTM model Accurate emotion detection from speech utterances has been a challenging and activeresearch affair recently. Speech emotion recognition (SER) systems play ... S Mishra,N Bhatnagar,P Prakasam,... - 《Multimedia Tools...
Information could be integrated by combining multiple estimators which were based on different acoustic cues or different processing principles (Benetos et al., 2013) to optimize the detection performance. This was demonstrated by our experimental results in Tables 3 and 4. Our fusion method has ...
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 ...