Desai A V, Haque M A
Department of Mechanical and Nuclear Engineering, the Pennsylvania State University, University Park, 16802, USA.
J Safety Res. 2006;37(2):139-47. doi: 10.1016/j.jsr.2005.11.003. Epub 2006 Apr 19.
Alertness of individuals operating vehicles, aircrafts, and machinery is a pre-requisite for safety of the individual and for avoiding economic losses. In this paper, we present a new technique for determining the alertness level of the operator and elaborate the methodology for the specific case of highway driving
Our hypothesis is that the time derivative of force exerted by the driver at the vehicle-human interfaces can be used to construct a signature of individual driving styles and to discern different levels of alertness
In this study, we present experimental results corroborating this hypothesis and introduce a parameter, 'spikiness index,' for the time series data of the force derivative to quantify driver alertness
The low cost, ruggedness, and low-volume data processing requirements of the proposed technique give it a competitive edge over existing predominantly image processing based vigilance monitoring systems.
操作车辆、飞机和机械的人员保持警觉是保障个人安全和避免经济损失的前提条件。在本文中，我们提出了一种确定操作员警觉水平的新技术，并详细阐述了针对公路驾驶这一特定情况的方法。
我们的假设是，驾驶员在车辆与人体界面施加的力的时间导数可用于构建个人驾驶风格的特征，并辨别不同的警觉水平。
在本研究中，我们展示了证实这一假设的实验结果，并针对力导数的时间序列数据引入了一个参数“尖峰指数”来量化驾驶员的警觉性。
所提出技术的低成本、坚固性以及对小容量数据处理的要求，使其相对于现有的主要基于图像处理的警觉监测系统具有竞争优势。
