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15 results on '"Matsuda, Yuki"'

4. Explorations on Growth of Blue-Green-Yellow-Red InGaN Quantum Dots by Plasma-Assisted Molecular Beam Epitaxy

Author

Zhang, Xue, primary, Xing, Zhiwei, additional, Yang, Wenxian, additional, Qiu, Haibing, additional, Gu, Ying, additional, Suzuki, Yuta, additional, Kaneko, Sakuya, additional, Matsuda, Yuki, additional, Izumi, Shinji, additional, Nakamura, Yuichi, additional, Cai, Yong, additional, Bian, Lifeng, additional, Lu, Shulong, additional, and Tackeuchi, Atsushi, additional

Published
2022
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7. Investigation of Micromorphology and Carrier Recombination Dynamics for InGaN/GaN Multi-Quantum Dots Grown by Molecular Beam Epitaxy

Author

Zhang, Xue, primary, Yang, Wenxian, additional, Xing, Zhiwei, additional, Qiu, Haibing, additional, Gu, Ying, additional, Bian, Lifeng, additional, Lu, Shulong, additional, Qin, Hua, additional, Cai, Yong, additional, Suzuki, Yuta, additional, Kaneko, Sakuya, additional, Matsuda, Yuki, additional, Izumi, Shinji, additional, Nakamura, Yuichi, additional, and Tackeuchi, Atsushi, additional

Published
2021
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13. EmoTour: Estimating Emotion and Satisfaction of Users Based on Behavioral Cues and Audiovisual Data

Author

Fedotov, Dmitrii, Minker, Wolfgang, Arakawa, Yutaka, Matsuda, Yuki, Takahashi, Yuta, and Yasumoto, Keiichi

Subjects
Databases, Factual, smart cities, Wearable Computing, Culture, Emotions, Smart tourism, Fixation, Ocular, Personal Satisfaction, wearable computing, lcsh:Chemical technology, Article, smart tourism, Dialogue systems, Japan, Germany, emotion recognition, Humans, lcsh:TP1-1185, DDC 000 / Computer science, information & general works, DDC 004 / Data processing & computer science, Exercise, satisfaction estimation, Wearable technology, ubiquitous computing, Awareness, Ubiquitous Computing, Satisfaction estimation, ddc:000, dialogue systems, Emotion recognition, Smartphone, ddc:004, Smart cities
Abstract

With the spread of smart devices, people may obtain a variety of information on their surrounding environment thanks to sensing technologies. To design more context-aware systems, psychological user context (e.g., emotional status) is a substantial factor for providing useful information in an appropriate timing. As a typical use case that has a high demand for context awareness but is not tackled widely yet, we focus on the tourism domain. In this study, we aim to estimate the emotional status and satisfaction level of tourists during sightseeing by using unconscious and natural tourist actions. As tourist actions, behavioral cues (eye and head/body movement) and audiovisual data (facial/vocal expressions) were collected during sightseeing using an eye-gaze tracker, physical-activity sensors, and a smartphone. Then, we derived high-level features, e.g., head tilt and footsteps, from behavioral cues. We also used existing databases of emotionally rich interactions to train emotion-recognition models and apply them in a cross-corpus fashion to generate emotional-state prediction for the audiovisual data. Finally, the features from several modalities are fused to estimate the emotion of tourists during sightseeing. To evaluate our system, we conducted experiments with 22 tourists in two different touristic areas located in Germany and Japan. As a result, we confirmed the feasibility of estimating both the emotional status and satisfaction level of tourists. In addition, we found that effective features used for emotion and satisfaction estimation are different among tourists with different cultural backgrounds., publishedVersion

Published
2018

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