2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)最新文献_第4页

Video Demo: Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video 视频演示:无监督学习深度和自我运动从圆柱形全景视频

2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2019-12-01 DOI: 10.1109/AIVR46125.2019.00059

Alisha Sharma, Jonathan Ventura

引用次数: 0

Explore Convolutional Neural Networks in Virtual Reality 探索虚拟现实中的卷积神经网络

2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2019-12-01 DOI: 10.1109/AIVR46125.2019.00056

Nadine Meissler, Annika Wohlan, N. Hochgeschwender, A. Schreiber

引用次数: 0

Kinematically Adaptive Exergames: Personalizing Exercise Therapy Through Closed-Loop Systems 运动适应性运动游戏:通过闭环系统的个性化运动疗法

2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2019-12-01 DOI: 10.1109/AIVR46125.2019.00026

J. Muñoz, Shi Cao, J. Boger

{"title":"Kinematically Adaptive Exergames: Personalizing Exercise Therapy Through Closed-Loop Systems","authors":"J. Muñoz, Shi Cao, J. Boger","doi":"10.1109/AIVR46125.2019.00026","DOIUrl":"https://doi.org/10.1109/AIVR46125.2019.00026","url":null,"abstract":"Exergaming research has identified the potential of using game elements as part of a training routine for exercise promotion. The high levels of motivation provided by Exergames as well as the reduced costs of modern interactive technologies have allowed a more extended adoption of this technology. Nevertheless, personalization is still a big issue since it is a key factor to improve Exergaming effectiveness. This paper contemplates the theoretical and practical notions of a kinematically adaptive framework for Exergames that uses off-the-shelf motion trackers to collect kinematic data during gameplay and creates real-time adaptations based on specific movement patterns. The framework consists of three modules for data collection, analysis, and translation that work together in a closed-loop system capable of adapting the motor behavior of players to desirable states via providing timely feedback and modulations of game parameters during training sessions. We discuss the importance of the kinematically adaptive framework in the Exergaming field and propose methodologies for its implementation.","PeriodicalId":274566,"journal":{"name":"2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126804735","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: 15

Drafting Interpretation of Seismic Data through Virtual Reality with Hyperknowledge Base Systems 基于虚拟现实和超知识库系统的地震数据制图解释

2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2019-12-01 DOI: 10.1109/AIVR46125.2019.00051

W. Santos, Isabela Chambers, E. V. Brazil, M. Moreno

引用次数: 0

[Copyright notice] (版权)

2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2019-12-01 DOI: 10.1109/aivr46125.2019.00003

引用次数: 0

DroneVR: A Web Virtual Reality Simulator for Drone Operator DroneVR:无人机操作员的网络虚拟现实模拟器

2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2019-12-01 DOI: 10.1109/AIVR46125.2019.00060

V. Nguyen, Kwanghee Jung, Tommy Dang

{"title":"DroneVR: A Web Virtual Reality Simulator for Drone Operator","authors":"V. Nguyen, Kwanghee Jung, Tommy Dang","doi":"10.1109/AIVR46125.2019.00060","DOIUrl":"https://doi.org/10.1109/AIVR46125.2019.00060","url":null,"abstract":"In recent years, Unmanned Aerial Vehicle (UAV) has been used extensively in various applications from entertainment, virtual tourism to construction, mining, agriculture. Navigation, path planning, and image acquisition are the main tasks in administering these aerial devices in accordance with real-time object tracking for affordable aerial vehicles. Aircraft crash is one of the most critical issues due to the uncontrolled environment and signal loss that cause the aerial vehicle to hit the buildings on its returning mode. Furthermore, real-time image processing, such as object tracking, has not yet been exploited for a low-cost aerial vehicle. This paper proposes a prototype embedded in a Web-based application called DroneVR to mitigate the aforementioned issues. The virtual reality environment was reconstructed based on the real-world fly data (OpenStreetMap) in which path planning and navigation were carried out. Gaussian Mixture Model was used to extract foreground and detect a moving object, Kalman Filter method was then applied to predict and keep track of object's motion. Perceived ease of use was investigated with a small sample size users to improve the simulator.","PeriodicalId":274566,"journal":{"name":"2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130503938","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: 18

Extending Socio-Technological Reality for Ethics in Artificial Intelligent Systems 在人工智能系统中扩展伦理的社会技术现实

2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2019-12-01 DOI: 10.1109/AIVR46125.2019.00064

Nadisha-Marie Aliman, L. Kester

{"title":"Extending Socio-Technological Reality for Ethics in Artificial Intelligent Systems","authors":"Nadisha-Marie Aliman, L. Kester","doi":"10.1109/AIVR46125.2019.00064","DOIUrl":"https://doi.org/10.1109/AIVR46125.2019.00064","url":null,"abstract":"Due to significant technological advances leading to an expansion of the possible solution space of more or less autonomously operating artificial intelligent systems in real-world environments, society faces the challenge to specify the goals of these systems while jointly covering ethical conceptions and legal frameworks. In this paper, we postulate that for this complex task of societal relevance pertaining to both AI Ethics and AI Safety, Virtual Reality (VR) and also Augmented Reality (AR) represent valuable tools whose utilization facilitates the extension of socio-technological reality by offering a rich counterfactual experiential testbed for enhanced ethical decision-making. For this purpose, we use the example of autonomous vehicles (AVs) to elaborate on how VR and AR could provide a twofold structured augmentation for the governance of artificial intelligent systems by enhancing society with regard to ethical self-assessment and ethical debiasing. Thereby, we extend existing literature by tailored recommendations based on insights from cognitive neuroscience and psychology to solve inconclusive open issues related to past VR experiments involving ethically relevant dilemmas in AV contexts. Finally, we comment on possible VR/AR-based cognitive-affective augmentation measures for a transformative impact on future AI Ethics and AI Safety endeavors.","PeriodicalId":274566,"journal":{"name":"2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134351855","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: 8

Collaborative Virtual Reality for Laparoscopic Liver Surgery Training 协同虚拟现实在腹腔镜肝脏手术训练中的应用

2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2019-12-01 DOI: 10.1109/AIVR46125.2019.00011

Vuthea Chheang, P. Saalfeld, T. Huber, F. Huettl, W. Kneist, B. Preim, C. Hansen

引用次数: 32

Realtime Behavior-Based Continual Authentication of Users in Virtual Reality Environments 虚拟现实环境中基于行为的实时用户持续认证

2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2019-12-01 DOI: 10.1109/AIVR46125.2019.00058

Robert Miller, A. Ajit, N. Banerjee, Sean Banerjee

{"title":"Realtime Behavior-Based Continual Authentication of Users in Virtual Reality Environments","authors":"Robert Miller, A. Ajit, N. Banerjee, Sean Banerjee","doi":"10.1109/AIVR46125.2019.00058","DOIUrl":"https://doi.org/10.1109/AIVR46125.2019.00058","url":null,"abstract":"In this work, we present a realtime interactive system that uses the trajectories of the device controllers and headset of a virtual reality (VR) system to perform continual authentication of users interacting in VR. Our system identifies a user within .21 +/- .04 seconds of provision of a trajectory for a ball-throwing application. Given an interaction session authorized for a user within an organization, our system continually authenticates the current user by computing matches for the positions and orientations of the points on trajectories of the right hand controller, left hand controller, and headset for the user against controller and headset trajectories in a library of users. The system combines the position and orientation matches using a neural network pre-trained to predict confidences on matches computed within the library, and provides a speech interface to output the identified user as the library user with the maximum value of predicted confidence. The system uses the identity of the user authorized to use a session and a confidence threshold to detect if the user is genuine, a malicious user internal to the organization, or an external intruder. Our system can be readily ported into virtual reality applications that require realtime behavioral authentication of users for secure access.","PeriodicalId":274566,"journal":{"name":"2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132532758","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: 17

Creating an Immersed Sheep and Wool VR/AI Experience 创造沉浸式羊和羊毛VR/AI体验

2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2019-12-01 DOI: 10.1109/AIVR46125.2019.00050

Helen X. Trejo

引用次数: 1