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Writer Identification using Wii Remote Controller

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참고문헌

키워드

초록

The objective of this study was to develop a system for handwriting recognition in three dimensions (3D) to authenticate users. While previous studies have used a stylus pen for two-dimensional input on a tablet, this study uses the Wii Remote controller because it can capture 3D human motion and could therefore be more effective means of recognition. The information obtained from a Wii Remote controller included x and y coordinates, acceleration (x, y, z), angular velocity (pitch, yaw, roll), twelve input buttons, and time. The proposed system calculates distances using six features extracted after preprocessing the data. In an experiment where 15 subjects wrote “AIZU” 10 times, we obtained a 94.8% identification rate using a combination of writing velocity, the peak value of pitch, and the peak value of yaw. This suggests that this system holds promise for handwriting-based authentication in the future.

Abstract

The objective of this study was to develop a system for handwriting recognition in three dimensions (3D) to authenticate users. While previous studies have used a stylus pen for two-dimensional input on a tablet, this study uses the Wii Remote controller because it can capture 3D human motion and could therefore be more effective means of recognition. The information obtained from a Wii Remote controller included x and y coordinates, acceleration (x, y, z), angular velocity (pitch, yaw, roll), twelve input buttons, and time. The proposed system calculates distances using six features extracted after preprocessing the data. In an experiment where 15 subjects wrote “AIZU” 10 times, we obtained a 94.8% identification rate using a combination of writing velocity, the peak value of pitch, and the peak value of yaw. This suggests that this system holds promise for handwriting-based authentication in the future.

참고문헌 (6)

  1. An Improvement of the Signature Verification Using Pen Slant, "Hangai, S.", IEICE, ~, pp.Technical Report (ISEC2000-18) (2000)
  2. Takigawa, Y., "Online writer identification using modified CAP", Journal of the Institute of Image Information and Television Engineers, 59(8), pp.1211~1214 (2005)
  3. Tamura, H, "Human motion recognition system using Nintendo Wii Remote controller", Mem. Fac. Engrg. Miyazaki Univ, 37, pp.141~146 (2008)
  4. Schlomer, T, "Gesture recognition with a Wii controller", Proceedings of the 2nd International Conference on Tangible and Embedded Interaction (2008), TEI '08. ACM
  5. Slyper, R, "Capture with accelerometers", Proceedings of the 2008 ACM SIGGRAPH, 2008, 193~199[DOI]
  6. Ishihara, S., "Individual authentication for portable devices using motion of the devices", Transactions of the Information Processing Society of Japan 46, 12, pp.2997~3007 (2005)

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