Earticle

현재 위치 Home

Augmented Piano Reality

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJHIT) 바로가기
  • 간행물
    International Journal of Hybrid Information Technology 바로가기
  • 통권
    Vol.8 No.10 (2015.10)바로가기
  • 페이지
    pp.141-152
  • 저자
    Ihab Zaqout, Samar Elhissi, Aya Jarour, Heba Elowini
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A257225

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

원문정보

초록

영어
As mobiles become cheaper and gain popularity, mobile applications are developing quickly and trying to utilize more techniques to make these applications more efficient and usable. Augmented reality is a live direct or indirect view of a physical, real-world environment whose elements are augmented (or supplemented) by computer-generated sensory input such as sound, video, graphics or GPS data. This research develops an android mobile application that utilizes real-time image processing techniques to provide simulated functionality to a hand drawing of piano keys. A piano keyboard with fourteen white keys and ten black keys is drawn used a black thick pen on paper, and the mobile is set in an angel that gives the optimum view of the piano keyboard when the camera is turned on. When the application is started, a camera shot of the piano, without the presence of hands or fingers in the view, is taken. The user can then start playing on his drawn piano. The application detects keystrokes and decides which key is pressed; and then plays the corresponding tone. The application is developed using OpenCV library which focuses on real-time image processing and computer vision, since the target devices with android platform, a Java program is used to port the C++ code to android. The application is tested on multiple android-based devices with different specifications under good lighting conditions. The empirical results are impressive and comparable across different devices, despite all changes in lighting and background; all devices exhibited the same level of accuracy in detecting fingers and drawn pianos.

목차

Abstract
 1. Introduction
  1.1 Background
  1.2 Statement of Problem
  1.3 Theoretical Foundations
  1.4 Open CV
 2. Related Work
 3. Methodology
  3.1 Initialization
  3.2 Piano Detection
  3.3 Finger Detection
 4. Experimental Results
 5. Conclusion and Future Work
 References

키워드

Augmented reality border following skin detection openCV piano detection finger detection keystrokes detection

저자

  • Ihab Zaqout [ Department of Information Technology, Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine ]
  • Samar Elhissi [ Department of Software Engineering Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine ]
  • Aya Jarour [ Department of Software Engineering Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine ]
  • Heba Elowini [ Department of Software Engineering Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJHIT) [Science & Engineering Research Support Center, Republic of Korea(IJHIT)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Hybrid Information Technology
  • 간기
    격월간
  • pISSN
    1738-9968
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Hybrid Information Technology Vol.8 No.10

    피인용수 : 0(자료제공 : 네이버학술정보)

    함께 이용한 논문 이 논문을 다운로드한 분들이 이용한 다른 논문입니다.

      페이지 저장