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.