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      KCI등재

      키넥트를 이용한 수화 인식 = Sign Language Recognition Using Kinect

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      https://www.riss.kr/link?id=A101741323

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      Sign language is a visual language expressed by facial expressions and body gestures, etc. The instances of signs vary in both motion and shape in three-dimensional (3D) space. In this research, 3D depth information is generated from Microsoft’s Kinect sensor and then a hierarchical conditional random field (CRF) that segments hand signs using 3D hand motions. A Boost Map embedding method is used to verify the hand shapes of the segmented signs. Experiments demonstrated that the proposed method could recognize signs at a rate of 90.4%.
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      Sign language is a visual language expressed by facial expressions and body gestures, etc. The instances of signs vary in both motion and shape in three-dimensional (3D) space. In this research, 3D depth information is generated from Microsoft’s Kin...

      Sign language is a visual language expressed by facial expressions and body gestures, etc. The instances of signs vary in both motion and shape in three-dimensional (3D) space. In this research, 3D depth information is generated from Microsoft’s Kinect sensor and then a hierarchical conditional random field (CRF) that segments hand signs using 3D hand motions. A Boost Map embedding method is used to verify the hand shapes of the segmented signs. Experiments demonstrated that the proposed method could recognize signs at a rate of 90.4%.

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      참고문헌 (Reference)

      1 Lahamy, H., "Towards real-time and rotation-invariant American Sign Language alphabet recognition using a range camera" 12 : 14416-14441, 2012

      2 Yang, H.-D., "Simultaneous spotting of signs and fingerspellings based on hierarchical conditional random fields and boostmap embeddings" 43 : 2858-2870, 2010

      3 Yang, H.-D., "Sign language spotting with a threshold model based on conditional random fields" 31 : 1264-1277, 2009

      4 Yang, H.-D., "Sign language recognition with the Kinect sensor based on conditional random fields" 15 (15): 135-147, 2015

      5 Chai, X., "Sign language recognition and translation with kinect" 22-26, 2013

      6 Yang, H.-D., "Robust sign language recognition by combining manual and non-manual features based on conditional random field and support vector machine" 34 : 2051-2056, 2013

      7 Ren, Z., "Robust part-based hand gesture recognition using kinect sensor" 15 : 1110-1120, 2013

      8 Fischler, M.A., "Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography" 24 : 381-395, 1981

      9 Zhang, S., "Low-Cost interactive whiteboard using the Kinect" 1-5, 2012

      10 Palacios, J., "Human-computer interaction based on hand gestures using RGB-D sensors" 13 : 11842-11860, 2013

      1 Lahamy, H., "Towards real-time and rotation-invariant American Sign Language alphabet recognition using a range camera" 12 : 14416-14441, 2012

      2 Yang, H.-D., "Simultaneous spotting of signs and fingerspellings based on hierarchical conditional random fields and boostmap embeddings" 43 : 2858-2870, 2010

      3 Yang, H.-D., "Sign language spotting with a threshold model based on conditional random fields" 31 : 1264-1277, 2009

      4 Yang, H.-D., "Sign language recognition with the Kinect sensor based on conditional random fields" 15 (15): 135-147, 2015

      5 Chai, X., "Sign language recognition and translation with kinect" 22-26, 2013

      6 Yang, H.-D., "Robust sign language recognition by combining manual and non-manual features based on conditional random field and support vector machine" 34 : 2051-2056, 2013

      7 Ren, Z., "Robust part-based hand gesture recognition using kinect sensor" 15 : 1110-1120, 2013

      8 Fischler, M.A., "Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography" 24 : 381-395, 1981

      9 Zhang, S., "Low-Cost interactive whiteboard using the Kinect" 1-5, 2012

      10 Palacios, J., "Human-computer interaction based on hand gestures using RGB-D sensors" 13 : 11842-11860, 2013

      11 Moreira Almeida, S., "Extraction in Brazilian sign language recognition based on phonological structure and using RGB-D. sensors" 41 : 7259-7271, 2014

      12 Athitsos, V., "BoostMap: An embedding method for efficient nearest neighbor retrieval" 30 (30): 89-104, 2008

      13 Zafrulla, Z., "American sign language recognition with the kinect" 279-286, 2011

      14 Chang, Y.J., "A Kinect-based system for physical rehabilitation:A pilot study for young adults with motor disabilities" 32 : 2566-2570, 2011

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2022 평가예정 재인증평가 신청대상 (재인증)
      2019-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2016-01-01 평가 등재학술지 선정 (계속평가) KCI등재
      2014-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.1 0.1 0
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0 0 0 0.04
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