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Korean grapheme recognition immersive scheme with gesture on smartphone.

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Title: Korean grapheme recognition immersive scheme with gesture on smartphone.
Authors: Heo, Yoon-A1 (AUTHOR) hyagood@dongguk.edu, Kim, Hyun-Woo1 (AUTHOR) hwkim@dongguk.edu, Park, Jong Hyuk2 (AUTHOR) jhpark1@seoultech.ac.kr, Jeong, Young-Sik1 (AUTHOR) ysjeong@dongguk.edu
Source: Multimedia Tools & Applications. Sep2025, Vol. 84 Issue 30, p36255-36270. 16p.
Subjects: Smartphones, Touch screen interfaces, Assistive technology, Human activity recognition, Pattern recognition systems, Acceleration measurements, Position sensors
Abstract: Character recognition schemes on information and communication technology devices, such as smart phones that use touchscreens, are currently used daily. In character recognition, users complete a desired sentence with predetermined character allocation by pushing buttons or using touch typing. Existing character recognition requires pushing many buttons for sentence completion. Smart phones, representative smart devices with diverse built-in sensors, have improved convenience by minimizing the number of pushes required for sentence completion based on application research using the drag function of the touchscreen. Despite the development of many touch interfaces, scarce character recognition schemes exist that account for those with disabilities or for unspecified situations, such as users wearing gloves. This paper proposes the Korean Grapheme Immersive Recognition Scheme (KGIRS), which uses gyro and acceleration sensors and was developed for smart devices with diverse built-in sensors. The KGIRS recognizes user gestures through gyro and acceleration sensors and performs Korean grapheme recognition by mapping a character recognition table. The KGIRS could be an excellent solution for the inconvenience of many existing push-type character input schemes by providing character recognition without restraint, regardless of the user's condition, even for touch incapability. Moreover, it can be used when general users have trouble typing characters using a push-type scheme. [ABSTRACT FROM AUTHOR]
Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="AR" term="%22Heo%2C+Yoon-A%22">Heo, Yoon-A</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hyagood@dongguk.edu</i><br /><searchLink fieldCode="AR" term="%22Kim%2C+Hyun-Woo%22">Kim, Hyun-Woo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hwkim@dongguk.edu</i><br /><searchLink fieldCode="AR" term="%22Park%2C+Jong+Hyuk%22">Park, Jong Hyuk</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> jhpark1@seoultech.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Jeong%2C+Young-Sik%22">Jeong, Young-Sik</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ysjeong@dongguk.edu</i>
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  Data: <searchLink fieldCode="DE" term="%22Smartphones%22">Smartphones</searchLink><br /><searchLink fieldCode="DE" term="%22Touch+screen+interfaces%22">Touch screen interfaces</searchLink><br /><searchLink fieldCode="DE" term="%22Assistive+technology%22">Assistive technology</searchLink><br /><searchLink fieldCode="DE" term="%22Human+activity+recognition%22">Human activity recognition</searchLink><br /><searchLink fieldCode="DE" term="%22Pattern+recognition+systems%22">Pattern recognition systems</searchLink><br /><searchLink fieldCode="DE" term="%22Acceleration+measurements%22">Acceleration measurements</searchLink><br /><searchLink fieldCode="DE" term="%22Position+sensors%22">Position sensors</searchLink>
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  Label: Abstract
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  Data: Character recognition schemes on information and communication technology devices, such as smart phones that use touchscreens, are currently used daily. In character recognition, users complete a desired sentence with predetermined character allocation by pushing buttons or using touch typing. Existing character recognition requires pushing many buttons for sentence completion. Smart phones, representative smart devices with diverse built-in sensors, have improved convenience by minimizing the number of pushes required for sentence completion based on application research using the drag function of the touchscreen. Despite the development of many touch interfaces, scarce character recognition schemes exist that account for those with disabilities or for unspecified situations, such as users wearing gloves. This paper proposes the Korean Grapheme Immersive Recognition Scheme (KGIRS), which uses gyro and acceleration sensors and was developed for smart devices with diverse built-in sensors. The KGIRS recognizes user gestures through gyro and acceleration sensors and performs Korean grapheme recognition by mapping a character recognition table. The KGIRS could be an excellent solution for the inconvenience of many existing push-type character input schemes by providing character recognition without restraint, regardless of the user's condition, even for touch incapability. Moreover, it can be used when general users have trouble typing characters using a push-type scheme. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11042-016-3853-9
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        Text: English
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      – SubjectFull: Assistive technology
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      – SubjectFull: Human activity recognition
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      – SubjectFull: Position sensors
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      – TitleFull: Korean grapheme recognition immersive scheme with gesture on smartphone.
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            NameFull: Heo, Yoon-A
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            NameFull: Kim, Hyun-Woo
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            – D: 21
              M: 09
              Text: Sep2025
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              Y: 2025
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