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SYSTEM AND METHOD FOR CLASSIFICATION AND QUANTITATIVE ESTIMATION OF COGNITIVE STRESS

机译:认知压力的分类和定量估计的系统和方法

摘要

This disclosure relates generally to stress classification and quantification, and more particularly to system and method for classification and quantitative estimation of cognitive stress from analysis of keystrokes and signals derived from physiological sensors. In one embodiment, a method includes obtaining, while a user is engaged in performance of a task, physiological signals from physiological sensors accessible to the user. Feature sets are identified from the physiological signals which correlate with cognitive stress experienced by the user. Using a regression model, a stress indicator metric comprising a quantitative estimate of the cognitive stress is predicted. The regression model is trained using the feature sets and independently determined quantitative estimates of cognitive stress used as a ground truth to output the value of the stress indicator metric. The ground truth is determined from keystroke data associated with the performance of keyboard-based tasks comprising navigation of moving objects to the target.
机译:本公开总体上涉及压力分类和量化,并且更具体地涉及用于根据对来自生理传感器的击键和信号的分析来对认知压力进行分类和定量估计的系统和方法。在一个实施例中,一种方法包括当用户从事任务执行时,从用户可访问的生理传感器获得生理信号。从与用户经历的认知压力相关的生理信号中识别特征集。使用回归模型,预测包括认知压力的定量估计的压力指标度量。使用功能集训练回归模型,并独立确定认知压力的定量估计(用作基本事实)以输出压力指标度量的值。从与基于键盘的任务的执行相关的击键数据中确定地面真相,包括将对象移动到目标的导航。

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