Proceedings of the 10th Augmented Human International Conference 2019最新文献_第2页

Let Your World Open: CAVE-based Visualization Methods of Public Virtual Reality towards a Shareable VR Experience 让你的世界开放:面向共享VR体验的基于cave的公共虚拟现实可视化方法

Proceedings of the 10th Augmented Human International Conference 2019 Pub Date : 2019-03-11 DOI: 10.1145/3311823.3311860

Akira Ishii, M. Tsuruta, Ippei Suzuki, Shuta Nakamae, Junichi Suzuki, Yoichi Ochiai

{"title":"Let Your World Open: CAVE-based Visualization Methods of Public Virtual Reality towards a Shareable VR Experience","authors":"Akira Ishii, M. Tsuruta, Ippei Suzuki, Shuta Nakamae, Junichi Suzuki, Yoichi Ochiai","doi":"10.1145/3311823.3311860","DOIUrl":"https://doi.org/10.1145/3311823.3311860","url":null,"abstract":"Virtual reality (VR) games are currently becoming part of the public-space entertainment (e.g., VR amusement parks). Therefore, VR games should be attractive for players, as well as for bystanders. Current VR systems are still mostly focused on enhancing the experience of the head-mounted display (HMD) users; thus, bystanders without an HMD cannot enjoy the experience together with the HMD users. We propose the \"ReverseCAVE\": a proof-of-concept prototype for public VR visualization using CAVE-based projection with translucent screens for bystanders toward a shareable VR experience. The screens surround the HMD user and the VR environment is projected onto the screens. This enables the bystanders to see the HMD user and the VR environment simultaneously. We designed and implemented the ReverseCAVE, and evaluated it in terms of the degree of attention, attractiveness, enjoyment, and shareability, assuming that it is used in a public space. Thus, we can make the VR world more accessible and enhance the public VR experience of the bystanders via the ReverseCAVE.","PeriodicalId":433578,"journal":{"name":"Proceedings of the 10th Augmented Human International Conference 2019","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114530293","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

BitoBody BitoBody

Proceedings of the 10th Augmented Human International Conference 2019 Pub Date : 2019-03-11 DOI: 10.1145/3311823.3311855

Erwin Wu, Mistki Piekenbrock, Hideki Koike

引用次数: 0

Investigating Universal Appliance Control through Wearable Augmented Reality 通过可穿戴增强现实技术研究通用电器控制

Proceedings of the 10th Augmented Human International Conference 2019 Pub Date : 2019-03-11 DOI: 10.1145/3311823.3311853

Vincent Becker, Felix Rauchenstein, Gábor Sörös

引用次数: 7

Design of Enhanced Flashcards for Second Language Vocabulary Learning with Emotional Binaural Narration 情绪性双耳叙述强化二语词汇学习抽认卡的设计

Proceedings of the 10th Augmented Human International Conference 2019 Pub Date : 2019-03-11 DOI: 10.1145/3311823.3311867

S. Fukushima

引用次数: 0

MusiArm

Proceedings of the 10th Augmented Human International Conference 2019 Pub Date : 2019-03-11 DOI: 10.1145/3311823.3311873

Kaito Hatakeyama, M. Y. Saraiji, K. Minamizawa

{"title":"MusiArm","authors":"Kaito Hatakeyama, M. Y. Saraiji, K. Minamizawa","doi":"10.1145/3311823.3311873","DOIUrl":"https://doi.org/10.1145/3311823.3311873","url":null,"abstract":"The emergence of prosthetic limbs where solely focused on substituting the missing limb with an artificial one, in order for the handicap people to manage their daily life independently. Past research on prosthetic hands has mainly focused on prosthesis' function and performance. Few proposals focused on the entertainment aspect of prosthetic hands. In this research, we considered the defective part as a potential margin for freely designing our bodies, and coming up with new use cases beyond the original function of the limb. Thus, we are not aiming to create anthropomorphic designs or functions of the limbs. By fusing the prosthetic hands and musical instruments, we propose a new prosthetic hand called \"MusiArm\" that extends the body part's function to become an instrument. MusiArm concept was developed through the dialogue between the handicapped people, engineers and prosthetists using the physical characteristics of the handicapped people as a \"new value\" that only the handicapped person can possess. We asked handicapped people who cannot play musical instruments, as well as people who do not usually play instruments, to use prototypes we made. As a result of the usability tests, using MusiArm, we made a part of the body function as a musical instrument, drawing out the unique expression methods of individuals, and enjoying the performance and clarify the possibility of showing interests.","PeriodicalId":433578,"journal":{"name":"Proceedings of the 10th Augmented Human International Conference 2019","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122839215","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

Brain Computer Interface for Neuro-rehabilitation With Deep Learning Classification and Virtual Reality Feedback 基于深度学习分类和虚拟现实反馈的神经康复脑机接口

Proceedings of the 10th Augmented Human International Conference 2019 Pub Date : 2019-03-11 DOI: 10.1145/3311823.3311864

Tamás Karácsony, J. P. Hansen, H. Iversen, S. Puthusserypady

{"title":"Brain Computer Interface for Neuro-rehabilitation With Deep Learning Classification and Virtual Reality Feedback","authors":"Tamás Karácsony, J. P. Hansen, H. Iversen, S. Puthusserypady","doi":"10.1145/3311823.3311864","DOIUrl":"https://doi.org/10.1145/3311823.3311864","url":null,"abstract":"Though Motor Imagery (MI) stroke rehabilitation effectively promotes neural reorganization, current therapeutic methods are immeasurable and their repetitiveness can be demotivating. In this work, a real-time electroencephalogram (EEG) based MI-BCI (Brain Computer Interface) system with a virtual reality (VR) game as a motivational feedback has been developed for stroke rehabilitation. If the subject successfully hits one of the targets, it explodes and thus providing feedback on a successfully imagined and virtually executed movement of hands or feet. Novel classification algorithms with deep learning (DL) and convolutional neural network (CNN) architecture with a unique trial onset detection technique was used. Our classifiers performed better than the previous architectures on datasets from PhysioNet offline database. It provided fine classification in the real-time game setting using a 0.5 second 16 channel input for the CNN architectures. Ten participants reported the training to be interesting, fun and immersive. \"It is a bit weird, because it feels like it would be my hands\", was one of the comments from a test person. The VR system induced a slight discomfort and a moderate effort for MI activations was reported. We conclude that MI-BCI-VR systems with classifiers based on DL for real-time game applications should be considered for motivating MI stroke rehabilitation.","PeriodicalId":433578,"journal":{"name":"Proceedings of the 10th Augmented Human International Conference 2019","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123957810","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: 32

Augmenting Human With a Tail 带着尾巴的扩增人

Proceedings of the 10th Augmented Human International Conference 2019 Pub Date : 2019-03-11 DOI: 10.1145/3311823.3311847

Haoran Xie, Kento Mitsuhashi, T. Torii

引用次数: 27

Guided Walking to Direct Pedestrians toward the Same Destination 引导步行，引导行人前往同一目的地

Proceedings of the 10th Augmented Human International Conference 2019 Pub Date : 2019-03-11 DOI: 10.1145/3311823.3311835

Nobuhito Sakamoto, M. Furukawa, M. Kurokawa, T. Maeda

引用次数: 1

CapMat

Proceedings of the 10th Augmented Human International Conference 2019 Pub Date : 2019-03-11 DOI: 10.1145/3311823.3311874

Denys J. C. Matthies, Don Samitha Elvitigala, Sachith Muthukumarana, Jochen Huber, Suranga Nanayakkara

引用次数: 3

SubMe SubMe

Proceedings of the 10th Augmented Human International Conference 2019 Pub Date : 2019-03-11 DOI: 10.1145/3311823.3311865

Katsuya Fujii, Junichi Rekimoto

{"title":"SubMe","authors":"Katsuya Fujii, Junichi Rekimoto","doi":"10.1145/3311823.3311865","DOIUrl":"https://doi.org/10.1145/3311823.3311865","url":null,"abstract":"Owing to the improvement in accuracy of eye tracking devices, eye gaze movements occurring while conducting tasks are now a part of physical activities that can be monitored just like other life-logging data. Analyzing eye gaze movement data to predict reading comprehension has been widely explored and researchers have proven the potential of utilizing computers to estimate the skills and expertise level of users in various categories, including language skills. However, though many researchers have worked specifically on written texts to improve the reading skills of users, little research has been conducted to analyze eye gaze movements in correlation to watching movies, a medium which is known to be a popular and successful method of studying English as it includes reading, listening, and even speaking, the later of which is attributed to language shadowing. In this research, we focus on movies with subtitles due to the fact that they are very useful in order to grasp what is occurring on screen, and therefore, overall understanding of the content. We realized that the viewers' eye gaze movements are distinct depending on their English level. After retrieving the viewers' eye gaze movement data, we implemented a machine learning algorithm to detect their English levels and created a smart subtitle system called SubMe. The goal of this research is to estimate English levels through tracking eye movement. This was conducted by allowing the users to view a movie with subtitles. Our aim is create a system that can give the user certain feedback that can help improve their English studying methods.","PeriodicalId":433578,"journal":{"name":"Proceedings of the 10th Augmented Human International Conference 2019","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114876316","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: 11