ST-Gait++: Leveraging spatio-temporal convolutions for gait-based emotion recognition on videos
Emotion recognition is relevant for human behaviour understanding, where facial expression and speech recognition have been widely explored by the computer vision community. Literature in the field of behavioural psychology indicates that gait, described as the way a person walks, is an additional indicator of emotions. In this work, we propose a deep framework for emotion recognition through the analysis of gait. More specifically, our model is composed of a sequence of spatial-temporal Graph Convolutional Networks that produce a robust skeleton-based representation for the task of emotion classification. We evaluate our proposed framework on the E-Gait dataset, composed of a total of 2177 samples. The results obtained represent an improvement of approximately 5% in accuracy compared to the state of the art. In addition, during training we observed a faster convergence of our model compared to the state-of-the-art methodologies.
Code (0)
등록된 구현이 없습니다.
Tasks
Emotion ClassificationEmotion Recognitionspeech-recognitionSpeech RecognitionSimilar Papers 제목 키워드 기반
SelfGait: A Spatiotemporal Representation Learning Method for Self-supervised Gait Recognition
Gait recognition plays a vital role in human identification since gait is a unique biometric feature that can be perceived at a distance. Although existing gait recognition methods can learn gait features from gait seque…
Gait RecognitionRepresentation LearningGait Recognition in the Wild with Multi-hop Temporal Switch
Existing studies for gait recognition are dominated by in-the-lab scenarios. Since people live in real-world senses, gait recognition in the wild is a more practical problem that has recently attracted the attention of t…
Gait RecognitionGait Recognition in the WildAssociated Spatio-Temporal Capsule Network for Gait Recognition
It is a challenging task to identify a person based on her/his gait patterns. State-of-the-art approaches rely on the analysis of temporal or spatial characteristics of gait, and gait recognition is usually performed on …
Decision MakingGait RecognitionSpatio-temporal Gait Feature with Global Distance Alignment
Gait recognition is an important recognition technology, because gait is not easy to camouflage and does not need cooperation to recognize subjects. However, many existing methods are inadequate in preserving both tempor…
Gait RecognitionLocal Spatiotemporal Convolutional Network for Robust Gait Recognition
Gait recognition, as a promising biometric technology, identifies individuals through their unique walking patterns and offers distinctive advantages including non-invasiveness, long-range applicability, and resistance t…
Gait Recognition