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Most existing digital camera user interfaces place little emphasis on self-portrait options. Therefore, it is not always easy to take self-portraits using conventional user interfaces. This paper presents a vision-based head gesture interface for controlling a self-portrait camera that helps users to take self-portraits effectively and efficiently. Intuitive nodding and head-shaking gestures control the camera zoom in/out on the face, and a mouth-opening gesture triggers the camera to take a picture. We evaluated its usability factors (effectiveness, efficiency, and satisfaction) and compared it to a remote control in a user study. The results suggest that our interface is useful for taking self-portrait pictures.

In this research, we introduce a head gesture interface for a digital camera shooting self-portrait pictures. Natural head nodding and shaking gestures can be recognized in real-time, using optical-flow motion tracking. A double head nod triggers the camera shutter to take shots. Continuous nodding or shaking triggers a zooming interface to zoom the user’s face in or out. To make the recognition robust, a safe zone analysis of the head region was conducted to quickly exclude any insignificant head motion, and thresholds of moving direction and length of head motion were selected in a preliminary set-up step. A finite state machine was used to recognize head gestures. Our results show that the proposed head gesture recognition method is a promising interface for a self-portrait camera.

Digital camera is a way to take self portrait and to express ourself through photography. The self portrait pictures have various usefulness, such as sharing events in life, through life-log website (e.g. facebook, Blog, Twitter), etc.
We present a new interaction technique that use hand gesture to interact with camera for taking self portrait. Right figure shows the current prototype of system setup that user uses hand gesture to interact with the camera. The large display is used to give video feedback of camera and display gesture based GUI. The proposed system makes control of the PTZ camera, rotate, tilt and activate the shutter, completely in the air and in a distance, and makes self portrait taking process more effective.

Skin color based hand and fingertip detection.

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