Active wearable vision sensor: detecting person's blink points and estimating human motion trajectory

To realize versatile real-time man-machine interactions based on understanding human intention and activities, we develop an active wearable vision sensor. The sensor consists of the detector of person's viewing lines and two active cameras. First, we establish a method for calibrating the sensor so that it can detect person's blink points accurately even in a real situation such that the depth of blink points changes. Secondly, we propose a method, the binocular independent fixation control, for incrementally estimating the motion trajectory of a person wearing the sensor.