Abstract
Emotion recognition (ER) is an important part of building an intelligent human-computer interaction system and plays an important role in human-computer interaction. Often, people express their feelings through a variety of symbols, such as words and facial expressions. A business ecosystem is an economic community based on interacting organizations and individuals. Over time, they develop their capabilities and roles together and tend to develop themselves in the direction of one or more central enterprises. This paper aims to study a multimodal ER method based on attention mechanism. It analyzes the current emotional state of consumers and the development direction of enterprises through multi-modal ER of human emotions and analysis of market trends, so as to provide the most appropriate response or plan. This paper firstly describes the related methods of multimodal ER and deep learning in detail, and briefly outlines the meaning of enterprise strategy in the business ecosystem. Then, two datasets, CMU-MOSI and CMU-MOSEI, are selected to design the scheme for multimodal ER based on self-attention mechanism. Through the comparative analysis of the accuracy of single-modal and multi-modal ER, the self-attention mechanism is applied in the experiment. The experimental results show that the average recognition accuracy of happy under multimodal ER reaches 91.5%.
Highlights
IntroductionAs an important branch of the ecosystem field, the business ecosystem with unique theoretical attributes has gradually attracted the attention of the people and actively carried out theoretical exploration
Emotion recognition (ER) combines speech processing, psychology, standard recognition and video image processing, it can be applied to various fields such as education, transportation and medical care
On the basis of experiments, the analysis shows that the recognition of single modality is lower than the effect of multimodal ER, which proves that introducing additional methods will significantly improve the accuracy of ER
Summary
As an important branch of the ecosystem field, the business ecosystem with unique theoretical attributes has gradually attracted the attention of the people and actively carried out theoretical exploration. Strategic emerging industries are based on major technological breakthroughs and major development needs, and represent the direction of technological innovation as a direction of industrial development. With the development of AI, the application of deep learning and the continuous update of computer science, more intelligent terminals have appeared in people’s field of vision, bringing people convenient and considerate services. In the process of Enterprise Strategic Management human development and communication, an important part of it is emotional expression. Emotion recognition (ER) combines speech processing, psychology, standard recognition and video image processing, it can be applied to various fields such as education, transportation and medical care. Emotions can be expressed in different ways. Since single ER often has shortcomings such as insufficient information utilization and low recognition accuracy, more and more researchers have begun to pay attention to multimodal ER
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