A Calibration Method for On-Vehicle AR-HUD System Using Mixed Reality Glasses

Deng, Nianchen; Zhou, Yanqing; Ye, Jiannan; Yang, Xubo

doi:10.1109/vr.2018.8446213

Cited by 11 publications

(2 citation statements)

References 4 publications

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“…Consequently, OSH risks may be posed since the information presented on the display may not be easily customizable, making it difficult for professional drivers to receive the specialized information they require (7)(8)(9). Furthermore, the display is likely to increase cognitive load, particularly for drivers not accustomed to using AR-HUD technology, such that fatigue and other OSH issues can be triggered (10)(11)(12). Accordingly, designing AR-HUD interfaces that are tailored to the specific needs of professional drivers takes on critical significance in improving OSH.…”

Section: Introduction 1background and Significancementioning

confidence: 99%

Machine learning-based cognitive load prediction model for AR-HUD to improve OSH of professional drivers

Teng

Wan

Kong

et al. 2023

Front. Public Health

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MotivationAugmented reality head-up display (AR-HUD) interface design takes on critical significance in enhancing driving safety and user experience among professional drivers. However, optimizing the above-mentioned interfaces poses challenges, innovative methods are urgently required to enhance performance and reduce cognitive load.DescriptionA novel method was proposed, combining the IVPM method with a GA to optimize AR-HUD interfaces. Leveraging machine learning, the IVPM-GA method was adopted to predict cognitive load and iteratively optimize the interface design.ResultsExperimental results confirmed the superiority of IVPM-GA over the conventional BP-GA method. Optimized AR-HUD interfaces using IVPM-GA significantly enhanced the driving performance, and user experience was enhanced since 80% of participants rated the IVPM-GA interface as visually comfortable and less distracting.ConclusionIn this study, an innovative method was presented to optimize AR-HUD interfaces by integrating IVPM with a GA. IVPM-GA effectively reduced cognitive load, enhanced driving performance, and improved user experience for professional drivers. The above-described findings stress the significance of using machine learning and optimization techniques in AR-HUD interface design, with the aim of enhancing driver safety and occupational health. The study confirmed the practical implications of machine learning optimization algorithms for designing AR-HUD interfaces with reduced cognitive load and improved occupational safety and health (OSH) for professional drivers.

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Section: Introduction 1background and Significancementioning

confidence: 99%

Machine learning-based cognitive load prediction model for AR-HUD to improve OSH of professional drivers

Teng

Wan

Kong

et al. 2023

Front. Public Health

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“…Whether it relates to anatomy, intraoperative surgery, or postoperative rehabilitation, applications are already being investigated for their role in the surgeons. AR is the addition of artificial information to one or more of the senses that allows the user to perform tasks more efficiently [2].…”

Section: Introductionmentioning

confidence: 99%

Doctors Assistive System Using Augmented Reality Glass Critical Analysis

Pallam,

Biyyala,

Jadapally

et al. 2023

IJRASET

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Surgeons are constantly searching for new technologies that can improve their operating room. They frequently use technologies that enable their industry to provide a better surgery and patient experience early on. Numerous advancements have been recognized as potential disruptive technologies in the surgical workplace as a result of the ongoing improvement of the surgical environment in the digital age. Augmented reality (AR) are rapidly becoming increasingly available, accessible and importantly affordable, hence their application into healthcare to enhance the medical use of data is certain. Whether it relates to anatomy, intraoperative surgery, or post-operative rehabilitation, applications are already being investigated for their role in the surgeons. AR is the addition of artificial information to one or more of the senses that allows the user to perform tasks more efficiently. We propose a system in which important information for the doctors are displayed on semi-transparent glasses included in an AR-headset and therefore are mixed with the real-worldview.

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