P220 Evaluating the influence of method, seat positioning, and anthropometric scaling on mobile machinery visibility profiles obtained using computer simulation

Schwabe, Nicholas; Robertson, A. H.; Godwin, Alison

doi:10.1136/oemed-2016-103951.536

Cited by 1 publication

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“…Anything needs color decoration. Color can directly or indirectly a ect people's emotions [6][7][8][9][10]. In the long-term life of human beings, the application of color makes it a visual symbol system, and it has certain symbolism and stability.…”

Section: Introductionmentioning

confidence: 99%

Application of Neural Network Based on Visual Recognition in Color Perception Analysis of Intelligent Vehicle HMI Interactive Interface under User Experience

Zhao¹

2022

Computational Intelligence and Neuroscience

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As a bridge of human-computer communication, the color design of intelligent vehicle HMI interactive interface is particularly important. It is also the first guide to the driver during the driving process. The quality of its design will also directly affect the driver’s senses and the driving safety of the vehicle. Therefore, this paper introduces the current situation, design principle, and future development of the vehicle interaction interface from multiple perspectives. Through the neural network system (condition generation countermeasure network model) of visual recognition, the color of the intelligent vehicle HMI interactive interface under the user experience is analyzed. According to the analysis of the psychological cognition and behavior operation of the automobile user, the correlation analysis of the human, vehicle, environment, and various elements of the interface is carried out, and how the vehicle interactive interface can meet the expected physiological and psychological needs of the user more and improve the operability is discussed in order to design an on-board HMI interactive interface that can be intelligently perceived according to weather, driver’s interests, and other factors and then improve the current backward operation mode of the on-board interactive interface, so that the interaction between people and vehicles is more smooth and pleasant.

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Section: Introductionmentioning

confidence: 99%

Application of Neural Network Based on Visual Recognition in Color Perception Analysis of Intelligent Vehicle HMI Interactive Interface under User Experience

Zhao¹

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

P220 Evaluating the influence of method, seat positioning, and anthropometric scaling on mobile machinery visibility profiles obtained using computer simulation

Cited by 1 publication

References 0 publications

Application of Neural Network Based on Visual Recognition in Color Perception Analysis of Intelligent Vehicle HMI Interactive Interface under User Experience

Application of Neural Network Based on Visual Recognition in Color Perception Analysis of Intelligent Vehicle HMI Interactive Interface under User Experience

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