{"id":708,"date":"2020-09-05T15:17:00","date_gmt":"2020-09-05T06:17:00","guid":{"rendered":"https:\/\/www.fast.kumamoto-u.ac.jp\/gsst\/?post_type=students&#038;p=708"},"modified":"2022-04-05T15:19:02","modified_gmt":"2022-04-05T06:19:02","slug":"eye-tracking-is-a-series-of-techniques-for-estimating-the-place-or-direction-that-people-look-at","status":"publish","type":"students","link":"https:\/\/www.fast.kumamoto-u.ac.jp\/gsst\/students\/708\/","title":{"rendered":"Eye tracking is a series of techniques for estimating the place or direction that people look at."},"content":{"rendered":"\n<p>Eye tracking is a series of techniques for estimating the place or direction that people look at. It could be used in computer games, intelligent control, e-learning, and other areas. With the development of Virtual Reality and Augmented Reality, eye tracking has become a popular research direction in recent years. However, most of the research focuses on tracking precision, using HD cameras to capture high-quality images of the users, assembling wearable devices with gyroscopes, or applying infrared devices to generate a high-precision tracking result. That leads to a high cost of applying this technique. Mitigating the cost of eye tracking is the urgent requirement for applying this technique generally. Therefore, we focus on developing a rough eye tracking system using a webcam as the main device. The cost of devices is considerably decreased. To overcome the limitation of the image quality, we developed the pupil detection method of self-training and pattern matching. To optimize the system and achieve a better precision under the limited conditions, we came up with the method of taking mouse clicks as the implicit calibration. Comparing with other research, our system is lightweight and low-cost, which is suitable to be applied for lightweight applications in human-computer interactions.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"460\" height=\"307\" src=\"https:\/\/www.fast.kumamoto-u.ac.jp\/gsst\/wp-content\/uploads\/2022\/04\/chenyang_zheng3.jpg\" alt=\"\" class=\"wp-image-710\"\/><\/figure>\n\n\n\n<p>Working with friends in the laboratory (I am the one in the middle)<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"460\" height=\"307\" src=\"https:\/\/www.fast.kumamoto-u.ac.jp\/gsst\/wp-content\/uploads\/2022\/04\/chenyang_zheng4.jpg\" alt=\"\" class=\"wp-image-709\"\/><\/figure>\n\n\n\n<p>Testing our eye tracking system<\/p>\n","protected":false},"featured_media":712,"template":"","class_list":["post-708","students","type-students","status-publish","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.fast.kumamoto-u.ac.jp\/gsst\/wp-json\/wp\/v2\/students\/708","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.fast.kumamoto-u.ac.jp\/gsst\/wp-json\/wp\/v2\/students"}],"about":[{"href":"https:\/\/www.fast.kumamoto-u.ac.jp\/gsst\/wp-json\/wp\/v2\/types\/students"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.fast.kumamoto-u.ac.jp\/gsst\/wp-json\/wp\/v2\/media\/712"}],"wp:attachment":[{"href":"https:\/\/www.fast.kumamoto-u.ac.jp\/gsst\/wp-json\/wp\/v2\/media?parent=708"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}