To alleviate these issues, we present a context-aware emotion recognition framework that combines four complementary contexts. The first context is multimodal emotion recognition based on facial expression, facial landmarks, gesture and gait. Secondly, we adopt the channel and spatial attention modules...
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. Recent approaches invariably focus on designing sophisticated architectures or mechanisms to extract seemingly meaningful representations from...
Personality and emotion as intrinsic factors often have great influences on the cognition of people's behavior. In computer vision, there is a lot of work done on the recognition of emotions, such as classification of a person's emotions via analyzing facial expressions. Relatively there is less...
This paper explores a ways of human-computer interaction that enable the computer to be more aware of the user's emotional expressions we present a approach for the emotion recognition from a facial expression, hand and body posture. Our model uses multimodal emotion recognition system in which ...
(Liu et al. 2019[19] )提出了ICRED(Interlocutor-aware Contexts into Recurrent Encoder-Decoder frameworks)模型,在 Ubuntu IRC Logs 数据集上进行多方对话回复生成研究,该任务中已知 addressee,可以直接将 addressee 相关信息融入到回复生成中。ICRED 使用三种角色GRU对说话人向量进行更新,然后使用说话人向量和 Addr...
Multimodal and Context-AwareEmotion Perception Model with Multiplicative Fusion We present a learning model for multimodal context-aware emotion recognition. Our approach combines multiple human co-occurring modalities(such as facial, ... T Mittal,A Bera,D Manocha - 《IEEE Multimedia》 被引量: 0发...
For example, context-based emotion recognition algorithms [21, 22] utilised the whole body part as one input and the whole image part as the other input. Similarly, another similar method [23] uses a face part, and a context image except for the face image are integrated for better ...
PAIR.withgoogle.com and friend's work on interpretability methods - interpretability/context-atlas/static/filtered_words.json at master · PAIR-code/interpretability
namely position bias. They proposed two mechanisms to capture position deviation, namely position-biased weight and position-biased dropout. Oh et al. [7] proposed deep context relation-aware networks for ALSC. It allowed interaction between subtasks with deep contextual information based on two modu...
A method and system using a processor for reasoning an optimized service of a ubiquitous system using context information and emotion awareness. The system using a processor for reasoning an optimized