A robust and accurate 3d hand posture estimation method for interactive systems

In this paper, a new 3D hand posture estimation system using a single camera and 3 interactive systems are introduced. Existing hand gesture recognition systems estimate hand's 3D models based on image features such as contour or skin texture. However, it was difficult to estimate the wrist rotation because the contour and the texture data do not have enough information to distinguish hand's sides. To solve this problem, we propose a new 3D hand posture estimation system that uses data of nail positions. Nail positions are an important factor to recognize hand's sides. Using nail positions, it becomes possible to detect whether the camera is facing palm or dorsum. In addition, nail areas can be robustly extracted from a skin area by a simple image processing technique. Our Proposed system uses a database consists of data-sets of the hand's contour, the nail positions, and finger joint angles. To estimate the hand posture, the system first extracts the hand's...

• Type: Conference
• Year: 2010
• Where: TEI
• Authors: Emi Tamaki
• Keywords: Hand Posture Estimation, Hand's Sides, Hardware, Nail Positions, TEI 2010