Improving the Accuracy of the CogniLearn System for Cognitive Behavior Assessment

Amir Ghaderi, Srujana Gattupalli, Dylan Ebert, Ali Sharifara, V. Athitsos, F. Makedon
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引用次数: 1

Abstract

HTKS [9] is a game-like cognitive assessment method, designed for children between four and eight years of age. During the HTKS assessment, a child responds to a sequence of requests, such as "touch your head" or "touch your toes". The cognitive challenge stems from the fact that the children are instructed to interpret these requests not literally, but by touching a different body part than the one stated. In prior work, we have developed the CogniLearn system, that captures data from subjects performing the HTKS game, and analyzes the motion of the subjects. In this paper we propose some specific improvements that make the motion analysis module more accurate. As a result of these improvements, the accuracy in recognizing cases where subjects touch their toes has gone from 76.46% in our previous work to 97.19% in this paper.
提高认知行为评估系统cognillearn的准确性
HTKS[9]是一种类似游戏的认知评估方法,主要针对4 - 8岁的儿童。在HTKS评估中,孩子会对一系列要求做出反应,比如“摸摸你的头”或“摸摸你的脚趾”。认知上的挑战源于这样一个事实,即孩子们被要求不是从字面上理解这些请求,而是通过触摸不同的身体部位来理解。在之前的工作中,我们已经开发了cognillearn系统,该系统从执行HTKS游戏的受试者中捕获数据,并分析受试者的运动。在本文中,我们提出了一些具体的改进,使运动分析模块更加准确。由于这些改进,识别受试者触摸脚趾的准确率从我们之前工作的76.46%提高到本文的97.19%。
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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