May 30, 2015 · In this paper, the authors descibe the first step to extract insightful emotional information using cloud-based Big Data infrastructure.
Authors in [9] propose the usage of sensors from thousands of mobile phones to do a multi-modal emotion recognition system. As data are collected from many ...
Video data is split into their respective video and audio streams, the video frames are split into individual frames. Those frames are fed back into.
The authors descibe the first step to extract insightful emotional information using cloud-based Big Data infrastructure and discuss relevant aspects of ...
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Bibliographic details on Using Big Data for Emotionally Intelligent Mobile Services through Multi-Modal Emotion Recognition.
Our task as AI researchers is to give computers the ability to communicate with users in consideration of their emotions.In recognition of a subject's emotions, ...
Emotion recognition involves identifying an individual's underlying emotional or affective state based on their verbal and non-verbal cues, including facial ...
This section of the book describes the methodology used in constructing emotion detection resources; methods for representing the data; multimodal emotion ...
Comprehensive systematic literature review to present a theoretical base for emotion recognition using deep learning methods. This paper includes quality ...
Our model was evaluated on a multimodal and multiparty dataset for emotion recognition in conversation MELD. The proposed approach reached an accuracy of 86.69% ...