Literaturnachweis - Detailanzeige
| Autor/inn/en | Yamada, Taketo; Matsuura, Kenji; Takeuchi, Hironori; Kashihara, Akihiro; Yamasaki, Kenichi; Kurita, Genta |
|---|---|
| Institution | International Association for Development of the Information Society (IADIS) |
| Titel | Toward Better Driving with Gaze Awareness Environment Supported by Area Segmentation [Konferenzbericht] Paper presented at the International Conference on Cognition and Exploratory Learning in Digital Age (CELDA) (19th, 2022). |
| Quelle | (2022), (8 Seiten)
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| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Monographie |
| Schlagwörter | Motor Vehicles; Traffic Safety; Specialists; Comparative Analysis; Eye Movements; Skill Development; Artificial Intelligence; Learning Management Systems; Computer Simulation; Video Technology; Instructional Effectiveness; Feedback (Response); Teaching Methods |
| Abstract | It is important to make car-drivers improve their way of looking for recognizing key objects or areas precisely. This study designs a system following such a motivation that distinguishes several areas in a display with weights of importance. A present proposing function for successful area detection offers drivers an opportunity to compare their gaze with experts. Concrete method for this implementation includes U-Net that is one of major techniques of machine learning combined with grid segmentation. (As Provided). |
| Anmerkungen | International Association for the Development of the Information Society. e-mail: secretariat@iadis.org; Web site: http://www.iadisportal.org |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
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