2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)最新文献

A Knowledge Oriented Virtual Reality Tool for Exploring Seismic Data 面向知识的地震数据挖掘虚拟现实工具

2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2018-12-01 DOI: 10.1109/AIVR.2018.00045

W. Santos, Reinaldo Silva, R. Santos, M. Moreno

引用次数: 4

Integrating Biomechanical and Animation Motion Capture Methods in the Production of Participant Specific, Scaled Avatars 整合生物力学和动画动作捕捉方法在生产参与者特定的，缩放头像

2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2018-12-01 DOI: 10.1109/AIVR.2018.00054

L. Hopper, Nahoko Sato

{"title":"Integrating Biomechanical and Animation Motion Capture Methods in the Production of Participant Specific, Scaled Avatars","authors":"L. Hopper, Nahoko Sato","doi":"10.1109/AIVR.2018.00054","DOIUrl":"https://doi.org/10.1109/AIVR.2018.00054","url":null,"abstract":"3D motion capture of human movement in animation and biomechanics has developed in relatively separate and parallel domains. The two disciplines use different language, software, computational models and have different aims. As a result, in the life sciences, human movement is predominantly analyzed as non-visual biomechanical data. Whereas human movement visualization in animation typically lacks the accuracy outside of that required in the entertainment industry. This project draws from both disciplines to develop a novel approach in the creation of participant specific, motion capture skeletons which are retargeted onto participant specific, anatomically scaled, humanoid avatars. The customized motion capture marker placement, skeleton and character scaling used in this new approach aims to retain a high level of movement fidelity and minimize discrepancies between participant and avatar movement. This process has been used in the visualization of aesthetic movement such as dance and provides a step towards the generation of a digital double which can facilitate full body immersion into digital environments.","PeriodicalId":371868,"journal":{"name":"2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122631723","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: 1

A Study of Situated Product Recommendations in Augmented Reality 增强现实中定位产品推荐的研究

2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2018-12-01 DOI: 10.1109/AIVR.2018.00013

Brandon Huynh, Adam Ibrahim, YunSuk Chang, Tobias Höllerer, J. O'Donovan

引用次数: 7

Decoding Subjective Emotional Arousal during a Naturalistic VR Experience from EEG Using LSTMs 利用LSTMs解码自然VR体验中的主观情绪唤醒

2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2018-12-01 DOI: 10.1109/AIVR.2018.00026

Simon M. Hofmann, Felix Klotzsche, A. Mariola, V. Nikulin, A. Villringer, Michael Gaebler

{"title":"Decoding Subjective Emotional Arousal during a Naturalistic VR Experience from EEG Using LSTMs","authors":"Simon M. Hofmann, Felix Klotzsche, A. Mariola, V. Nikulin, A. Villringer, Michael Gaebler","doi":"10.1109/AIVR.2018.00026","DOIUrl":"https://doi.org/10.1109/AIVR.2018.00026","url":null,"abstract":"Emotional arousal (EA) denotes a heightened state of activation that has both subjective and physiological aspects. The neurophysiology of subjective EA, among other mind-brain-body phenomena, can best be tested when subjects are stimulated in a natural fashion. Immersive virtual reality (VR) enables naturalistic experimental stimulation and thus promises to increase the ecological validity of research findings i.e., how well they generalize to real-life settings. In this study, 45 participants experienced virtual rollercoaster rides while their brain activity was recorded using electroencephalography (EEG). A Long Short-Term Memory (LSTM) recurrent neural network (RNN) was then trained on the alpha-frequency (8-12 Hz) component of the EEG signal (input) and the retrospectively acquired continuous reports of subjective EA (target). With the LSTM-based model, subjective EA could be predicted significantly above chance level. This demonstrates a novel EEG-based decoding approach for subjective states of experience in naturalistic research designs using VR.","PeriodicalId":371868,"journal":{"name":"2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129304774","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: 21

IEEE AIVR 2018 Technical Program Committee Members and Reviewers IEEE AIVR 2018技术计划委员会成员和评审员

2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2018-12-01 DOI: 10.1109/aivr.2018.00008

引用次数: 0

Planar Simplification of Indoor Point-Cloud Environments 室内点云环境的平面简化

2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2018-12-01 DOI: 10.1109/AIVR.2018.00066

Stephan Feichter, H. Hlavacs

引用次数: 3

A Natural Language Programming Application for Lego Mindstorms EV3 Lego Mindstorms EV3的自然语言编程应用程序

2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2018-12-01 DOI: 10.1109/AIVR.2018.00012

Yue Zhan, M. Hsiao

引用次数: 0

Message from the IEEE AIVR 2018 General Co-Chairs IEEE AIVR 2018联合主席致辞

2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2018-12-01 DOI: 10.1109/aivr.2018.00005

Chun-Ming Chang, Wolfgang Huerst, Xiaojuan Ma, Alexander Plopski, Klen Copic Pucihar, A. E. Saddik, Vida Groznik, Min-Chun Hu, M. Kljun, Zerrin Yumak, João Ascenso, R. Capobianco, Guido, D. Iwai, F. Sandnes, H. Schuldt, M. Sert, Jarno Vanne, Rong-Ming Chen, P. Sheu, J. Tsai

引用次数: 0

A Compensation Method of Two-Stage Image Generation for Human-AI Collaborated In-Situ Fashion Design in Augmented Reality Environment 增强现实环境下人工智能协同现场服装设计的两阶段图像生成补偿方法

2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2018-12-01 DOI: 10.1109/AIVR.2018.00018

Zhenjie Zhao, Xiaojuan Ma

{"title":"A Compensation Method of Two-Stage Image Generation for Human-AI Collaborated In-Situ Fashion Design in Augmented Reality Environment","authors":"Zhenjie Zhao, Xiaojuan Ma","doi":"10.1109/AIVR.2018.00018","DOIUrl":"https://doi.org/10.1109/AIVR.2018.00018","url":null,"abstract":"In this paper, we consider a human-AI collaboration task, fashion design, in augmented reality environment. In particular, we propose a compensation method of two-stage image generation neural network for generating fashion design with progressive users' inputs. Our work is based on a recent proposed deep learning model, pix2pix, that can successfully transform an image from one domain into another domain, such as from line drawings to color images. However, the pix2pix model relies on the condition that input images should come from the same distribution, which is usually hard for applying it to real humancomputer interaction tasks, where the input from users differs from individual to individual. To address the problem, we propose a compensation method of two-stage image generation. In the first stage, we ask users to indicate their design preference with an easy task, such as tuning clothing landmarks, and use the input to generate a compensation input. With the compensation input, in the second stage, we then concatenate it with the real sketch from users to generate a perceptual better result. In addition, to deploy the two-stage image generation neural network in augmented reality environment, we designed and implemented a mobile application where users can create fashion design referring to real world human models. With the augmented 2D screen and instant feedback from our system, users can design clothing by seamlessly mixing the real and virtual environment. Through an online experiment with 46 participants and an offline use case study, we showcase the capability and usability of our system. Finally, we discuss the limitations of our system and further works on human-AI collaborated design.","PeriodicalId":371868,"journal":{"name":"2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132516525","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: 10

Exploring Seismic Data through Virtual Reality and Hybrid Knowledge Base 利用虚拟现实和混合知识库探索地震数据

2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) Pub Date : 2018-12-01 DOI: 10.1109/AIVR.2018.00038

W. Santos, Reinaldo Silva, R. Santos, M. Moreno

引用次数: 1