Multimodal Emotion Evaluation: A Physiological Model for Cost-Effective Emotion Classification
نویسندگان
چکیده
منابع مشابه
Deep Features for Multimodal Emotion Classification
Understanding human emotion when perceiving audio-visual content is an exciting and important research avenue. Thus, there have been emerging attempts to predict the emotion elicited by video clips or movies recently. While most existing approaches focus either on single modality, i.e., only audio or visual data is exploited, or build on a multimodal scheme with late fusion, we propose a multim...
متن کاملEvaluation of Musical Features for Emotion Classification
Because music conveys and evokes feelings, a wealth of research has been performed on music emotion recognition. Previous research has shown that musical mood is linked to features based on rhythm, timbre, spectrum and lyrics. For example, sad music correlates with slow tempo, while happy music is generally faster. However, only limited success has been obtained in learning automatic classifier...
متن کاملEmotion models for textual emotion classification
This paper deals with textual emotion classification which gained attention in recent years. Emotion classification is used in user experience, product evaluation, national security, and tutoring applications. It attempts to detect the emotional content in the input text and based on different approaches establish what kind of emotional content is present, if any. Textual emotion classification...
متن کاملA Linked Data Model for Multimodal Sentiment and Emotion Analysis
The number of tools and services for sentiment analysis is increasing rapidly. Unfortunately, the lack of standard formats hinders interoperability. To tackle this problem, previous works propose the use of the NLP Interchange Format (NIF) as both a common semantic format and an API for textual sentiment analysis. However, that approach creates a gap between textual and sentiment analysis that ...
متن کاملMultimodal Approach for Emotion Recognition Using a Formal Computational Model
Emotions play a crucial role in human-computer interaction. They are generally expressed and perceived through multiple modalities such as speech, facial expressions, physiological signals. Indeed, the complexity of emotions makes the acquisition very difficult and makes unimodal systems (i.e., the observation of only one source of emotion) unreliable and often unfeasible in applications of hig...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Sensors
سال: 2020
ISSN: 1424-8220
DOI: 10.3390/s20123510