Top Tweets for #Emotionrecognition
Performance variations shift piano emotion perception more than composition itself. Isolate performer interpretation effects from composition to enable emotion-aware performance analysis. #PerformanceAnalysis #EmotionRecognition #MIR https://t.co/Hp2M79fYHg
📢 #highlycited paper
📚 #EmotionRecognition beyond Pixels: Leveraging #FacialPointLandmark Meshes
🔗 https://t.co/MgxdtA8Eac
👨🔬 by Herag Arabian et al.
🏫 Furtwangen University/University of Leipzig/University of Canterbury
#deeplearning #digitalhealth
📢 #highlycited paper
📚 Multi-Region and Multi-Band #Electroencephalogram #EmotionRecognition Based on #SelfAttention and #CapsuleNetwork
🔗 https://t.co/AWQd3hvO8W
👨🔬 by Sheng Ke et al.
🏫 Changzhou University
#EEG #Transformer
#highlycited paper
📚Assessing Feature Importance in Eye-Tracking Data within #VirtualReality Using Explainable Artificial Intelligence Techniques
🔗https://t.co/dTVxKltgK3
👨🔬by Meryem Bekler et al.
🏫Gazi University
#emotionrecognition #emotionmodels
#highlycited paper
📚Enhancing Multimodal #EmotionRecognition through Attention Mechanisms in BERT and CNN Architectures
🔗https://t.co/v5sriAF09Y
👨🔬by Fazliddin Makhmudov et al.
🏫Gachon University
#deeplearning #CNN
Emotional memory leaks drain your mental RAM. Learn the logic of cognitive decompression to debug background loops and reclaim your focus. - https://t.co/LTCPyeb9n4 #emotions #emotionrecognition
🎭 Can a single EEG channel predict emotions with >99% accuracy?
Using #Enobio researchers developed MLAR-Net a ResNet+attention model that nails emotion classification from single-channel #EEG
⚡Real-time. Lightweight. Scalable.
#AI #EmotionRecognition
📄 https://t.co/chwkoRgE5G
Must read on #emotionrecognition: if the use of biometric data is required to classify as high risk by the EU, AI "performing emotion recognition through text-based sentiment analysis extensively used in AI chatbots, mental health apps" etc. is excluded.
https://t.co/KJ6I4aUjIY
🔥 Read our Highly Cited Paper
📚Enhancing Multimodal #EmotionRecognition through #AttentionMechanisms in BERT and CNN Architectures
🔗https://t.co/v5sriAF09Y
👨🔬by Fazliddin Makhmudov et al.
🏫Gachon University
#deeplearning #CNN
🔥 Read our Highly Cited Paper
📚 Advancements in #EEG #EmotionRecognition: Leveraging #MultiModalDatabase Integration
🔗 https://t.co/nSo55PzQv7
👨🔬 Ahmed Roshdy et al.
🏫 @UPECactus / @Official_AUM
#deeplearning #emotiondigitization
Built a project that detects emotions hidden in voice
Used spectrograms + MFCCs for feature extraction and trained a CNN to “see” patterns in audio.
Challenges: subtle emotions, noise, overfitting.
#MachineLearning #DeepLearning #SpeechAI #EmotionRecognition #AI
📢 #CallForPapers: #EmotionSense Workshop @ #PerCom2026 📢
✨ a #NewEntry diving into the synergy of unobtrusive #HumanSensing & #EmotionRecognition for health and well-being!
📅 Submission deadline: Nov 17, 2025
🔗https://t.co/ijzXuN7FiE
@IEEEorg #AI #WearableTech
🤖❤️ Can #LLMs rethink how we label human emotion?
Work just published by @IEEEXplore examines how traditional annotation schemes hold up in today’s LLM-driven world.
📄 Minxue Niu, Yara El-Tawil, Amrit Romana, Emily Mower Provost
#EmotionRecognition
🔗https://t.co/bfQpNSbUQX
Imentiv’s Emotion API = emotions in data form.
🎥 See expressions
🎙 Hear tone
💬 Read sentiment
Plug in. Get insights. Act smarter.
#EmotionAI #DataDriven #emotionapi #facerecognition #emotionrecognition #API #Imentivai #AI #voiceapi #textapi
"VERNAI allows you to understand your emotions."- Craig Tucker
Marketing with Russ...aka #RussSelfie, Ep. 537
Watch on You Tube - @russhedge
Connect w/ Craig:
https://t.co/kXU89x88Om
https://t.co/4tuXeG1V69 ; https://t.co/HwfgdhHRI4
#emotionrecognition #AI #technology
#Electrical stimulation of #FacialMuscles can bias emotion perception, making individuals more likely to interpret ambiguous faces as happy. Facial feedback reduces reliance on visual cues during #EmotionRecognition. https://t.co/coSZPXHy26 https://t.co/3odZt7QtNu
Entrevista de @rne a nuestro compañero @fgarciamo y la Dra. @MartaBadenesSas del LAB #MYDASS por su último artículo publicado sobre #IA #wearables y #emotionrecognition https://t.co/NppJObtguT
Paper: https://t.co/PFtyzM8fPV
🎶✨ When AI meets music!
At Catalink, we’re developing a mobile app that plays music based on your emotional state. Combining #AI, #semantics, and #mooddetection, we’re making technology feel personal. 🎧🤖
@MuseIT_EU
#Catalink #AImusic #EmotionRecognition #Flutter #HorizonEU
SensoryT5 teaches T5 to "feel" by embedding sensory knowledge into its attention. A fresh take on emotion, sarcasm, and opinion classification—worth a read.
#NLP #AI #EmotionRecognition #sensory_AI #linguistics
https://t.co/02Dh9RXUKp
🔥 Read our Paper
📚 Multi-Region and Multi-Band Electroencephalogram Emotion Recognition Based on Self-Attention and Capsule Network
🔗 https://t.co/hZr90k2qTu
👨🔬 by Mr. Sheng Ke et al.
🏫 @CCZU1978
#EEG #emotionrecognition
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