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 …
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 …
Step: Spatial temporal graph convolutional networks for emotion perception from gaits
We present a novel classifier network called STEP, to classify perceived human emotion
from gaits, based on a Spatial Temporal Graph Convolutional Network (ST-GCN) …
from gaits, based on a Spatial Temporal Graph Convolutional Network (ST-GCN) …
Text2gestures: A transformer-based network for generating emotive body gestures for virtual agents
U Bhattacharya, N Rewkowski… - 2021 IEEE virtual …, 2021 - ieeexplore.ieee.org
We present Text2Gestures, a transformer-based learning method to interactively generate
emotive full-body gestures for virtual agents aligned with natural language text inputs. Our …
emotive full-body gestures for virtual agents aligned with natural language text inputs. Our …
Proxemo: Gait-based emotion learning and multi-view proxemic fusion for socially-aware robot navigation
V Narayanan, BM Manoghar… - 2020 IEEE/RSJ …, 2020 - ieeexplore.ieee.org
We present ProxEmo, a novel end-to-end emotion prediction algorithm for socially aware
robot navigation among pedestrians. Our approach predicts the perceived emotions of a …
robot navigation among pedestrians. Our approach predicts the perceived emotions of a …
Looking into gait for perceiving emotions via bilateral posture and movement graph convolutional networks
Emotions can be perceived from a person's gait, ie, their walking style. Existing methods on
gait emotion recognition mainly leverage the posture information as input, but ignore the …
gait emotion recognition mainly leverage the posture information as input, but ignore the …
Emotion recognition based on body and context fusion in the wild
Y Huang, H Wen, L Qing, R Jin… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Emotion recognition in-the-wild under uncontrolled conditions is a challenge, because facial
expression is often blurred or even missing in the public space, while the previous visual …
expression is often blurred or even missing in the public space, while the previous visual …
Psymo: A dataset for estimating self-reported psychological traits from gait
Psychological trait estimation from external factors such as movement and appearance is a
challenging and long-standing problem in psychology, and is principally based on the …
challenging and long-standing problem in psychology, and is principally based on the …
Motion capture sensor-based emotion recognition using a bi-modular sequential neural network
Motion capture sensor-based gait emotion recognition is an emerging sub-domain of human
emotion recognition. Its applications span a variety of fields including smart home design …
emotion recognition. Its applications span a variety of fields including smart home design …
See your emotion from gait using unlabeled skeleton data
H Lu, X Hu, B Hu - Proceedings of the AAAI Conference on Artificial …, 2023 - ojs.aaai.org
This paper focuses on contrastive learning for gait-based emotion recognition. The existing
contrastive learning approaches are rarely suitable for learning skeleton-based gait …
contrastive learning approaches are rarely suitable for learning skeleton-based gait …