2018年度共同研究者：西村昭治, Yishui Zhu, 金群
研究成果概要：With thedevelopment of eye-tracking technology, existing studies verified the effect ofculture on eye movements. Ho...With thedevelopment of eye-tracking technology, existing studies verified the effect ofculture on eye movements. However, the detail of how thedifferent cultures, especially the different Asian cultures affect people’s color preferences about products by visual attention remains in black box. In this paper, we focus on the differencebetween Chinese and Japanese who have similar but different cultures and try toidentify their difference in visual attention about color preferences when selecting goods by usingeye-tracking. The finding proves that people with different Asianscultures have different viewing patterns when faced to select goods withdifferent colors. Theresults also indicate that culture as a factor does affect to ones’ evaluation of products. The results can provide guidelines for products design or visualmarketing management.成果発表：研究の内容と結果は既に中国西安で開催した国際会議MUE2019 (The 13th International Conference on Multimedia and Ubiquitous Engineering)に投稿している、本会議は2019年4月。
研究成果概要：In daily life,stair walking is the basic motionand requires more dynamic motion than walking on level ground. On a ...In daily life,stair walking is the basic motionand requires more dynamic motion than walking on level ground. On a stair’s environment, the most common cause of falling is due to ones’ posture, such as loss of balance. However, almost experimental equipmentfor motion capture which can collected the balance data such as “MVN”, a wearable motion capturesolution with inertial sensors, are bulky and difficult to carry. For another, some solution focused on detecting and reconstructing 3D human motionfrom 2D content did not have enough accuracy.Therefore, in this study we try to compare the similarities and differences between the bodymotion of ordinary people and elderly people when walking stairs at first, andthen aim to provide a usablepredication model for 2Dcontent-based 3D motion data acquisition by using two types of motion capture devices and machinelearning technology. Based on our plan,the experiments have done on 2019.8, collegestudents with different genders have been invited as the subjects to test theirbody motion when claiming stairs. Collected data are being analyzed and theresults will be published in the international conference CyberSciTech2020.
|データリテラシー I 06||人間科学部||2018||春学期|