Please use this identifier to cite or link to this item: http://ir.unikl.edu.my/jspui/handle/123456789/20198
metadata.conference.dc.title: THE RELATIONSHIP OF VIBRATIONAL ENERGY DISTRIBUTION ON THE LEVEL OF DRIVER DETECTION
metadata.conference.dc.contributor.*: SABARIAH MOHD YUSOFF
JOSEPH GIACOMIN
(UniKL MITEC)
metadata.conference.dc.date.issued: 28-Aug-2018
metadata.conference.dc.description.abstract: A laboratory-based experiment was conducted to measure the effect of vibrational energy distribution on human cognitive detection of road surface based on steering wheel vibration. The test stimuli used in the current study were ten steering wheel acceleration time histories of mid-sized European automobiles. The ten original steering wheel time histories were manipulated via digital Butterworth filters to eliminate four different frequency bands from the steering wheel vibration spectrum of within 20 to 60 Hz. The ensemble, composed of both the original and the manipulated time histories, was used to perform a laboratory-based detection. During the test, participants were asked to judge if the actuated acceleration stimulus transmitted came from the road surface shown on photographs featured on a board directly in front of the test bench and rate the confidence of their judgement on a five-point scale ((1) = very sure there was no signal – (5) = very sure there was a signal)). The findings suggest that the elimination of vibrational energy in the frequency band of 26.32 to 34.64 Hz can be highly detrimental to human cognitive detection of road surface types and compromise the steering wheel feedback the most. The elimination can lead to the correct detection of road surfaces.
metadata.conference.dc.description: Venue: Kuantan, Pahang, MALAYSIA
metadata.conference.dc.identifier.uri: http://ir.unikl.edu.my/jspui/handle/123456789/20198
metadata.conference.dc.conference.name: 3rd International Conference on Automotive Innovation and Green Energy Vehicle (AiGEV 2018)
metadata.conference.dc.conference.year: 2018
Appears in Collections:Conference Papers



Items in UniKL IR are protected by copyright, with all rights reserved, unless otherwise indicated.