A survey on databases for multimodal emotion recognition and an introduction to the VIRI (visible and InfraRed image) database
Multimodal human–computer interaction (HCI) systems pledge a more human–human-like
interaction between machines and humans. Their prowess in emanating an unambiguous …
interaction between machines and humans. Their prowess in emanating an unambiguous …
Survey on emotional body gesture recognition
Automatic emotion recognition has become a trending research topic in the past decade.
While works based on facial expressions or speech abound, recognizing affect from body …
While works based on facial expressions or speech abound, recognizing affect from body …
Audio-visual emotion recognition in video clips
This paper presents a multimodal emotion recognition system, which is based on the
analysis of audio and visual cues. From the audio channel, Mel-Frequency Cepstral …
analysis of audio and visual cues. From the audio channel, Mel-Frequency Cepstral …
A survey of ai-based facial emotion recognition: Features, ml & dl techniques, age-wise datasets and future directions
Facial expressions are mirrors of human thoughts and feelings. It provides a wealth of social
cues to the viewer, including the focus of attention, intention, motivation, and emotion. It is …
cues to the viewer, including the focus of attention, intention, motivation, and emotion. It is …
Dominant and complementary emotion recognition from still images of faces
Emotion recognition has a key role in affective computing. Recently, fine-grained emotion
analysis, such as compound facial expression of emotions, has attracted high interest of …
analysis, such as compound facial expression of emotions, has attracted high interest of …
A multimodal facial emotion recognition framework through the fusion of speech with visible and infrared images
MFH Siddiqui, AY Javaid - Multimodal Technologies and Interaction, 2020 - mdpi.com
The exigency of emotion recognition is pushing the envelope for meticulous strategies of
discerning actual emotions through the use of superior multimodal techniques. This work …
discerning actual emotions through the use of superior multimodal techniques. This work …
Learning better representations for audio-visual emotion recognition with common information
F Ma, W Zhang, Y Li, SL Huang, L Zhang - Applied Sciences, 2020 - mdpi.com
Audio-visual emotion recognition aims to distinguish human emotional states by integrating
the audio and visual data acquired in the expression of emotions. It is crucial for facilitating …
the audio and visual data acquired in the expression of emotions. It is crucial for facilitating …
Low‐quality fingerprint classification using deep neural network
P Tertychnyi, C Ozcinar, G Anbarjafari - IET Biometrics, 2018 - Wiley Online Library
Fingerprint recognition systems mainly use minutiae points information. As shown in many
previous research works, fingerprint images do not always have good quality to be used by …
previous research works, fingerprint images do not always have good quality to be used by …
Investigating multisensory integration in emotion recognition through bio-inspired computational models
EM Benssassi, J Ye - IEEE Transactions on Affective …, 2021 - ieeexplore.ieee.org
Emotion understanding represents a core aspect of human communication. Our social
behaviours are closely linked to expressing our emotions and understanding others' …
behaviours are closely linked to expressing our emotions and understanding others' …
Joint challenge on dominant and complementary emotion recognition using micro emotion features and head-pose estimation: Databases
In this work two databases for the Joint Challenge on Dominant and Complementary
Emotion Recognition Using Micro Emotion Features and Head-Pose Estimation1 are …
Emotion Recognition Using Micro Emotion Features and Head-Pose Estimation1 are …