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인터랙티브 VR 스포츠 어플리케이션을 위한 다중촉감 렌더링
문민재(Minjae Mun),오승재(Seungjae Oh),박채용(Chaeyong Park),최승문(Seungmoon Choi) Korean Institute of Information Scientists and Eng 2022 정보과학회논문지 Vol.49 No.2
This study explores how to deliver realistic haptic sensations for virtual collision events in virtual reality (VR). For this purpose, we implemented a multifaceted haptic device that produced both vibration and impact and designed a haptic rendering method combining the simulated interactions of a physics engine and the collision data of real objects. We also designed a virtual simulation of three sports activities, billiards, ping-pong, and tennis, in which a user could interact with virtual objects having different material properties. We performed a user study to evaluate the subjective quality of the haptic feedback from three rendering conditions, vibration, impact, and multimodal of combining both, and compared it to real haptic sensations. The results suggested that each rendering condition had different perceptual characteristics. Therefore, the addition of a haptic modality can broaden the dynamic range of virtual collisions.
박민재(Minjae Park),김대경(Dae-Kyung Kim),김종운(Jong-Woon Kim),박동호(Dong Ho Park),박병노(Byoung-Noh Park),박종훈(Jong Hun Park),송미옥(Mi-Ok Song),성시일(Si-Il Sung),정기문(Ki Mun Jung),임재학(Jae-Hak Lim) 한국신뢰성학회 2021 신뢰성응용연구 Vol.21 No.3
Purpose: We developed a multicriteria decision model to assist decision-makers in determining the optimal inspection intervals based on a set of competing criteria, such as cost, downtime, and availability. Methods: A procedure based on multiattribute utility theory is proposed for developing the model. The proposed approach can simultaneously determine the optimal inspection intervals for monitoring the failure behavior of systems trails to be inspected, maintainability features, and decision-maker preferences for cost, downtime, and availability. Results: We determined the optimal inspection intervals for periodic condition monitoring based on delay time analysis and a multicriteria framework. Conclusion: We developed a multicriteria decision model that includes cost, downtime, and availability for consequences that have multiple dimensions to be considered.