A survey of human gait-based artificial intelligence applications
EJ Harris, IH Khoo, E Demircan - Frontiers in Robotics and AI, 2022 - frontiersin.org
We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …
focus on human gait studies and apply machine learning techniques. We identified six key …
Unlocking the emotional world of visual media: An overview of the science, research, and impact of understanding emotion
The emergence of artificial emotional intelligence technology is revolutionizing the fields of
computers and robotics, allowing for a new level of communication and understanding of …
computers and robotics, allowing for a new level of communication and understanding of …
Context de-confounded emotion recognition
Abstract Context-Aware Emotion Recognition (CAER) is a crucial and challenging task that
aims to perceive the emotional states of the target person with contextual information …
aims to perceive the emotional states of the target person with contextual information …
Emotions don't lie: An audio-visual deepfake detection method using affective cues
We present a learning-based method for detecting real and fake deepfake multimedia
content. To maximize information for learning, we extract and analyze the similarity between …
content. To maximize information for learning, we extract and analyze the similarity between …
Target and source modality co-reinforcement for emotion understanding from asynchronous multimodal sequences
Perceiving human emotions from a multimodal perspective has received significant attention
in knowledge engineering communities. Due to the variable receiving frequency for …
in knowledge engineering communities. Due to the variable receiving frequency for …
Emotion recognition from multiple modalities: Fundamentals and methodologies
Humans are emotional creatures. Multiple modalities are often involved when we express
emotions, whether we do so explicitly (such as through facial expression and speech) or …
emotions, whether we do so explicitly (such as through facial expression and speech) or …
Robust emotion recognition in context debiasing
Context-aware emotion recognition (CAER) has recently boosted the practical applications
of affective computing techniques in unconstrained environments. Mainstream CAER …
of affective computing techniques in unconstrained environments. Mainstream CAER …
Multi-task learning for gait-based identity recognition and emotion recognition using attention enhanced temporal graph convolutional network
W Sheng, X Li - Pattern Recognition, 2021 - Elsevier
Human gait conveys significant information that can be used for identity recognition and
emotion recognition. Recent studies have focused more on gait identity recognition than …
emotion recognition. Recent studies have focused more on gait identity recognition than …
Emoticon: Context-aware multimodal emotion recognition using frege's principle
We present EmotiCon, a learning-based algorithm for context-aware perceived human
emotion recognition from videos and images. Motivated by Frege's Context Principle from …
emotion recognition from videos and images. Motivated by Frege's Context Principle from …
Speech2affectivegestures: Synthesizing co-speech gestures with generative adversarial affective expression learning
U Bhattacharya, E Childs, N Rewkowski… - Proceedings of the 29th …, 2021 - dl.acm.org
We present a generative adversarial network to synthesize 3D pose sequences of co-
speech upper-body gestures with appropriate affective expressions. Our network consists of …
speech upper-body gestures with appropriate affective expressions. Our network consists of …