Projector-camera (ProCam) systems have been widely used to develop the interactive spatial augmented reality (SAR) environment. However, since the projection angle of the existing ProCams is narrow, it is necessary to deploy multiple ProCams to make an omnidirectional SAR environment. These ProCams need to be calibrated and cannot be moved after calibration. To solve this limitation, we introduce OmniProCam, which is a portable coaxial ProCam combining with an ultra-fisheye lens. The ultra-fisheye lens enables omnidirectional projection and interaction, and the coaxial ProCam enables calibration-free. In order to prove the availability of the OmniProcam system, we develop a prototype named OmniLantern, a portable and omnidirectional device in the shape of Lantern. In this paper, we describe the implementation details of the OmniLantern prototype that bases on the retroreflective markers, distortion correction, gesture recognition, and touch detection. We also introduce some applications which show the advantages of OmniLantern. Finally, we summarize the issue of the OmniLantern and the future potential of the OmniProCam system.
{"title":"OmniLantern: Design and Implementations of a Portable and Coaxial Omnidirectional Projector-Camera System","authors":"Ruopeng Xu, Toshiki Sato, Shio Miyafuji, H. Koike","doi":"10.1145/3531073.3531126","DOIUrl":"https://doi.org/10.1145/3531073.3531126","url":null,"abstract":"Projector-camera (ProCam) systems have been widely used to develop the interactive spatial augmented reality (SAR) environment. However, since the projection angle of the existing ProCams is narrow, it is necessary to deploy multiple ProCams to make an omnidirectional SAR environment. These ProCams need to be calibrated and cannot be moved after calibration. To solve this limitation, we introduce OmniProCam, which is a portable coaxial ProCam combining with an ultra-fisheye lens. The ultra-fisheye lens enables omnidirectional projection and interaction, and the coaxial ProCam enables calibration-free. In order to prove the availability of the OmniProcam system, we develop a prototype named OmniLantern, a portable and omnidirectional device in the shape of Lantern. In this paper, we describe the implementation details of the OmniLantern prototype that bases on the retroreflective markers, distortion correction, gesture recognition, and touch detection. We also introduce some applications which show the advantages of OmniLantern. Finally, we summarize the issue of the OmniLantern and the future potential of the OmniProCam system.","PeriodicalId":412533,"journal":{"name":"Proceedings of the 2022 International Conference on Advanced Visual Interfaces","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125260542","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}
Many questions regarding single-hand text entry on modern smartphones (in particular, large-screen smartphones) remain under-explored, such as, (i) will the existing prevailing single-handed keyboards fit for large-screen smartphone users? and (ii) will individual-customization improve single-handed keyboard performance? In this paper we study single-handed typing behaviors on several representative keyboards on large-screen mobile devices. We found that, (i) the user-adaptable-shape curved keyboard performs best among all the studied keyboards; (ii) users’ familiarity with the Qwerty layout plays a significant role at the beginning, but after several sessions of training, the user-adaptable curved keyboard can have the best learning curve and performs best; (iii) generally the statistical decoding algorithms via spatial and language models can well handle the input noise from single-handed typing.
{"title":"A Comparative Study on Single-handed Keyboards on Large-screen Mobile Devices","authors":"Kunpeng Zhang, Zhigang Deng","doi":"10.1145/3531073.3531075","DOIUrl":"https://doi.org/10.1145/3531073.3531075","url":null,"abstract":"Many questions regarding single-hand text entry on modern smartphones (in particular, large-screen smartphones) remain under-explored, such as, (i) will the existing prevailing single-handed keyboards fit for large-screen smartphone users? and (ii) will individual-customization improve single-handed keyboard performance? In this paper we study single-handed typing behaviors on several representative keyboards on large-screen mobile devices. We found that, (i) the user-adaptable-shape curved keyboard performs best among all the studied keyboards; (ii) users’ familiarity with the Qwerty layout plays a significant role at the beginning, but after several sessions of training, the user-adaptable curved keyboard can have the best learning curve and performs best; (iii) generally the statistical decoding algorithms via spatial and language models can well handle the input noise from single-handed typing.","PeriodicalId":412533,"journal":{"name":"Proceedings of the 2022 International Conference on Advanced Visual Interfaces","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114842300","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}
{"title":"Proceedings of the 2022 International Conference on Advanced Visual Interfaces","authors":"","doi":"10.1145/3531073","DOIUrl":"https://doi.org/10.1145/3531073","url":null,"abstract":"","PeriodicalId":412533,"journal":{"name":"Proceedings of the 2022 International Conference on Advanced Visual Interfaces","volume":"246 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116270861","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}
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