2021 IEEE 7th International Conference on Virtual Reality (ICVR)最新文献_第7页

User Embodiment Comparison of Semi-Autonomous and Fully-Captured Avatar Movements in Virtual Reality 虚拟现实中半自主和完全捕获的化身运动的用户具体化比较

2021 IEEE 7th International Conference on Virtual Reality (ICVR) Pub Date : 2021-05-20 DOI: 10.1109/ICVR51878.2021.9483831

Thomas Vincent, Weistroffer Vincent, Fraisse Philippe

引用次数: 1

Project MultiLeap: Fusing Data from Multiple Leap Motion Sensors 项目MultiLeap:融合来自多个Leap运动传感器的数据

2021 IEEE 7th International Conference on Virtual Reality (ICVR) Pub Date : 2021-05-20 DOI: 10.1109/ICVR51878.2021.9483819

Tomás Novácek, Christian Marty, M. Jiřina

{"title":"Project MultiLeap: Fusing Data from Multiple Leap Motion Sensors","authors":"Tomás Novácek, Christian Marty, M. Jiřina","doi":"10.1109/ICVR51878.2021.9483819","DOIUrl":"https://doi.org/10.1109/ICVR51878.2021.9483819","url":null,"abstract":"Finding a simple and precise way to control the virtual environment is one of the goals of a lot of humancomputer interaction research. One of the approaches is using a Leap Motion optical sensor, which provides hand and finger tracking without the need of any hand-held device. However, the Leap Motion system currently supports only one sensor at the time.To overcome this limitation, we proposed a set of algorithms to combine the data from multiple Leap Motion sensors to increase the precision and the usability of the hand tracking. First, we suggested a way how to improve the calibration of the current hand pose alignment proposed by Leap Motion. Then, we proposed an approach to fuse the tracking data from multiple Leap Motion sensors to provide more precise interaction with the virtual world. For this, we implemented our very own algorithm for computing the confidence level of the tracking data that can be used to distinguish which Leap Motion sensor detects the tracked hands best. We implemented those algorithms into our MultiLeap library.We also created two demo scenes that we used to validate the correctness of our work – one for evaluation of the fusing algorithms and one for mimicking the interaction with control panels in a helicopter cockpit.","PeriodicalId":266506,"journal":{"name":"2021 IEEE 7th International Conference on Virtual Reality (ICVR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128818156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Multi-scale Image Decomposition Using a Local Statistical Edge Model 基于局部统计边缘模型的多尺度图像分解

2021 IEEE 7th International Conference on Virtual Reality (ICVR) Pub Date : 2021-05-05 DOI: 10.1109/ICVR51878.2021.9483837

Kin-Ming Wong

引用次数: 2

Spatial Knowledge Acquisition in Virtual and Physical Reality: A Comparative Evaluation 虚拟现实和物理现实中的空间知识获取:比较评价

2021 IEEE 7th International Conference on Virtual Reality (ICVR) Pub Date : 2021-04-15 DOI: 10.1109/ICVR51878.2021.9483809

D. Monteiro, Xian Wang, Hai-Ning Liang, Yiyu Cai

{"title":"Spatial Knowledge Acquisition in Virtual and Physical Reality: A Comparative Evaluation","authors":"D. Monteiro, Xian Wang, Hai-Ning Liang, Yiyu Cai","doi":"10.1109/ICVR51878.2021.9483809","DOIUrl":"https://doi.org/10.1109/ICVR51878.2021.9483809","url":null,"abstract":"Virtual Reality (VR) head-mounted displays (HMDs) have been studied widely as tools for the most diverse kinds of training activities. One particular kind that is the basis for many real-world applications is spatial knowledge acquisition and navigation. For example, knowing well by heart escape routes can be an important factor for firefighters and soldiers. Prior research on how well knowledge acquired in virtual worlds translates to the real, physical one has had mixed results, with some suggesting spatial learning in VR is akin to using a regular 2D display. However, VR HMDs have evolved drastically in the last decade, and little is known about how spatial training skills in a simulated environment using up-to-date VR HMDs compare to training in the real world. In this paper, we investigate how people trained in a VR maze compare against those trained in a physical maze in terms of recall of the position of items inside the environment. While our results did not find significant differences in time performance for people who experienced the physical and those who trained in VR, other behavioral factors were different.","PeriodicalId":266506,"journal":{"name":"2021 IEEE 7th International Conference on Virtual Reality (ICVR)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124937872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[ICVR 2021 Front cover] [ICVR 2021封面]

2021 IEEE 7th International Conference on Virtual Reality (ICVR) Pub Date : 1900-01-01 DOI: 10.1109/icvr51878.2021.9483705

引用次数: 0

[Copyright notice] (版权)

2021 IEEE 7th International Conference on Virtual Reality (ICVR) Pub Date : 1900-01-01 DOI: 10.1109/icvr51878.2021.9483823

引用次数: 0