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THE RELATIONSHIP OF VIBRATIONAL ENERGY DISTRIBUTION ON THE LEVEL OF DRIVER DETECTION

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dc.contributor.author SABARIAH MOHD YUSOFF
dc.contributor.author JOSEPH GIACOMIN
dc.contributor.author (UniKL MITEC)
dc.date.accessioned 2018-08-28T01:48:27Z
dc.date.available 2018-08-28T01:48:27Z
dc.date.issued 2018-08-28
dc.identifier.uri http://ir.unikl.edu.my/jspui/handle/123456789/20198
dc.description Venue: Kuantan, Pahang, MALAYSIA en_US
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. en_US
dc.title THE RELATIONSHIP OF VIBRATIONAL ENERGY DISTRIBUTION ON THE LEVEL OF DRIVER DETECTION en_US
dc.conference.name 3rd International Conference on Automotive Innovation and Green Energy Vehicle (AiGEV 2018) en_US
dc.conference.year 2018 en_US


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