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The Status of Research into Intention Recognition

The Status of Research into Intention Recognition

Luyao Wang, Chunlin Li, Jinglong Wu
Copyright: © 2020 |Pages: 17
ISBN13: 9781799817543|ISBN10: 1799817547|EISBN13: 9781799817550
DOI: 10.4018/978-1-7998-1754-3.ch061
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MLA

Wang, Luyao, et al. "The Status of Research into Intention Recognition." Robotic Systems: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2020, pp. 1290-1306. https://doi.org/10.4018/978-1-7998-1754-3.ch061

APA

Wang, L., Li, C., & Wu, J. (2020). The Status of Research into Intention Recognition. In I. Management Association (Ed.), Robotic Systems: Concepts, Methodologies, Tools, and Applications (pp. 1290-1306). IGI Global. https://doi.org/10.4018/978-1-7998-1754-3.ch061

Chicago

Wang, Luyao, Chunlin Li, and Jinglong Wu. "The Status of Research into Intention Recognition." In Robotic Systems: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1290-1306. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-1754-3.ch061

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Abstract

In recent years, service robots have been widely used in many fields, especially for assisting the elderly and disabled. For example, the medical care of patients with Alzheimer's disease has become a worldwide problem. Existing service robots with some intelligence quotient can perform actions that are programmed by a human. However, the robot cannot understand human intentions or communicate with people naturally. Understanding the intent of the service object could allow the robot to provide better service. Therefore, the most critical component of human-computer interactions is intention recognition. There are currently many methods by which intention recognition can be achieved, such as EMG, EOG and EEG. In addition, emotion is one of the important factors during intention recognition, and this has been a breakthrough notion. This chapter summarizes the current status of research into intention recognition and gives a brief description of the relationship between emotion and intention. We hope to provide more ideas for optimizing human-computer interactions.

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