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The status of research into intention recognition

  • Luyao Wang*
  • , Chunlin Li
  • , Jinglong Wu
  • *Corresponding author for this work
  • Beijing Institute of Technology
  • Capital Medical University
  • Kagawa University

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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 humancomputer 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.

Original languageEnglish
Title of host publicationImproving the Quality of Life for Dementia Patients through Progressive Detection, Treatment, and Care
PublisherIGI Global
Pages201-221
Number of pages21
ISBN (Electronic)9781522509264
ISBN (Print)1522509259, 9781522509257
DOIs
Publication statusPublished - 11 Oct 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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