基于眼动跟踪的人类意图估计系统的设计与实现

Jiaming Yang, Shouzhi Yu, Mingwei Ding
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引用次数: 0

摘要

眼睛是心灵的窗口,眼动包含着很多有效的信息。随着人工智能和人机交互的突破,眼动追踪技术近年来逐渐走向前台。本文以医疗健康为典型场景,围绕眼动追踪技术在患者交流和人机交互中的潜在应用进行创新研究,提出并实现了一种基于眼动追踪的意图估计系统。该系统基于眼动的生理学、医学和工效学原理,进行原创性创新,提取出一组识别精度高、表达效率高的眼动参数,总结出能够满足静音环境应用的眼动指令,最终形成了一系列与交互指令相关的应用雏形。
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Design and Implementation of Human Intention Estimation System Based on Eye Movement Tracking
Eyes are the window of the mind, and eye movement contains a lot of effective information. With the breakthrough of artificial intelligence and human-computer interaction, eye movement tracking technology has gradually moved to the foreground in recent years. This paper takes medical health as a typical scenario, carries out innovative research around the potential application of eye movement tracking technology in patient communication and human-computer interaction, proposes and implements an intention estimation system based on eye movement tracking. Based on the physiology, medicine and ergonomics of eye movement, the system makes original innovations, extracts a set of eye movement parameters with high recognition accuracy and high expression efficiency, summarizes eye movement instructions that can meet the application of silent environment, and finally forms a series of embryonic applications related to interactive instructions.
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