Regression analysis of heart rate for driving fatigue using response surface methodology (RSM)

Mohammad Zen, Muhammad Asyraf (2022) Regression analysis of heart rate for driving fatigue using response surface methodology (RSM). Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

	Text (24 Pages) Regression analysis of heart rate for driving fatigue using response surface methodology (RSM).pdf - Submitted Version Download (1MB)
	Text (Full text) Regression analysis of heart rate for driving fatigue using response surface methodology (RSM).pdf - Submitted Version Restricted to Repository staff only Download (2MB)

Abstract

In this modern era, vehicles are something that is very useful for the world community. Whether riding a public vehicle or a private vehicle. This is because, the vehicle can save a person's time and energy to go to the desired destination. There is no doubt that vehicles have many benefits and advantages for society, but do not forget also the risks that can endanger the safety and life of a person in the event of an accident. There are many factors that cause accidents. Among them is driver fatigue which is the cause of loss of focus while driving and in turn causes the driver to fail to make the right decision when an emergency occurs. Cognitive ergonomics, sometimes referred to as human factor engineering has been identified as a cause of driver fatigue among drivers in Malaysia. The purpose of this research conducted was to develop a regression model based on cognitive ergonomic factors that contribute to fatigue that cause loss of focus and failure to make accurate decisions. The model developed can link between the input parameters and the results to be produced.

Actions (login required)

View Item