Facial Expressions as a Modality for Fatigue detection in Robot based Rehabilitation

Ashwin Ramesh Babu, Joe Cloud, Michail Theofanidis, F. Makedon
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引用次数: 2

Abstract

Considerable amount of research is being carried out in robot based rehabilitation techniques. One of the main focus when building a smart rehabilitation system is its ability to adapt based on the user experience. In this poster we attempt to build such a smart rehabilitation system that recognizes the strain/ negative emotions from the participants facial expression and adjusts its force exerted. The accuracy of the system to recognize the facial expression is assessed and the accuracy of the system as a whole is estimated through user surveys.
面部表情作为机器人康复中疲劳检测的一种形式
在基于机器人的康复技术方面正在进行大量的研究。构建智能康复系统的主要焦点之一是其基于用户体验的适应能力。在这张海报中,我们试图建立这样一个智能康复系统,从参与者的面部表情中识别紧张/负面情绪,并调整其施加的力量。评估系统识别面部表情的准确性,并通过用户调查估计系统整体的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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