| Summary: | 碩士 === 國立臺北大學 === 通訊工程研究所 === 105 === In the past, eye trackers were mainly used for research in learning, but nowadays, many users have extended their use to the field of human-machine interaction. The main reason behind this is the increasing affordability of eye trackers, which allows general users to easily obtain the device. This study made use of an eye tracker to extract information from the eyes, to control the shooting angles of video capture devices.
The study also used median filters of different sizes to process the eye tracking data, and pinpointed a filter that can reduce camera shake and eliminate latency. Afterwards, a limited area was adopted to reduce camera shake. Lastly, by comparing limited areas of different sizes, we obtained an equilibrium between the shooting accuracy in an area and the stability of the camera.
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