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320 results on '"Arakawa, Yutaka"'

1. Estimating Speech Duration by Measuring the Abdominal Movement Using a Barometric Sensor

Author

Katagiri, Rintaro, Arakawa, Yutaka, and Nakamura, Yugo

Subjects
Computer Science - Human-Computer Interaction, C.5
Abstract

Measuring the amount of speech production in daily life is important for understanding communication in organizations and identifying mental disorders. However, measuring the amount of speech production can be problematic in terms of privacy. We observed the whole body condition during speech and noted that the abdomen strains during speech production.Therefore, we developed a less uncomfortable, inflatable abdominal motion measurement device using a barometric sensor to measure speech production indirectly. We measured speech production in 10 subjects and created a speech discrimination model using machine learning. However, the estimated speech duration in an actual meeting using this model was much longer than the actual duration. We found that the wearer's posture significantly affects the accuracy of the speech discrimination model developed in this study. We plan to improve the abdominal motion measurement device to minimize the effect of posture and achieve more accurate speech production measurement., Comment: 6pages, 2tables, 6figures

Published
2024

2. Learning Cross-Modal Factors from Multimodal Physiological Signals for Emotion Recognition

Author

Ishikawa, Yuichi, Kobayashi, Nao, Naruse, Yasushi, Nakamura, Yugo, Ishida, Shigemi, Mine, Tsunenori, Arakawa, Yutaka, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Liu, Fenrong, editor, Sadanandan, Arun Anand, editor, Pham, Duc Nghia, editor, Mursanto, Petrus, editor, and Lukose, Dickson, editor

Published
2024
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5. ZEL: Net-Zero-Energy Lifelogging System using Heterogeneous Energy Harvesters

Author

Arita, Mitsuru, Nakamura, Yugo, Ishida, Shigemi, and Arakawa, Yutaka

Subjects
Computer Science - Human-Computer Interaction
Abstract

We present ZEL, the first net-zero-energy lifelogging system that allows office workers to collect semi-permanent records of when, where, and what activities they perform on company premises. ZEL achieves high accuracy lifelogging by using heterogeneous energy harvesters with different characteristics. The system is based on a 192-gram nametag-shaped wearable device worn by each employee that is equipped with two comparators to enable seamless switching between system states, thereby minimizing the battery usage and enabling net-zero-energy, semi-permanent data collection. To demonstrate the effectiveness of our system, we conducted data collection experiments with 11 participants in a practical environment and found that the person-dependent (PD) model achieves an 8-place recognition accuracy level of 87.2% (weighted F-measure) and a static/dynamic activities recognition accuracy level of 93.1% (weighted F-measure). Additional testing confirmed the practical long-term operability of the system and showed it could achieve a zero-energy operation rate of 99.6% i.e., net-zero-energy operation., Comment: 8 pages, 8 figures, Accepted to IEEE PerCom 2022

Published
2022
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6. System to Induce Accepting Unconsidered Information by Connecting Current Interests : Proof of Concept in Snack Purchasing Scenarios

Author

Tokunaga, Taku, Motomatsu, Hiromu, Sugihara, Kenji, Ozaki, Honoka, Yasuda, Mari, Nakamura, Yugo, Arakawa, Yutaka, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Meschtscherjakov, Alexander, editor, Midden, Cees, editor, and Ham, Jaap, editor

Published
2023
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7. ParmoSense: A Scenario-based Participatory Mobile Urban Sensing Platform with User Motivation Engine

Author

Matsuda, Yuki, Kawanaka, Shogo, Suwa, Hirohiko, Arakawa, Yutaka, and Yasumoto, Keiichi

Subjects
Computer Science - Social and Information Networks, Computer Science - Human-Computer Interaction, 68M18, H.4
Abstract

Rapid proliferation of mobile devices with various sensors have enabled Participatory Mobile Sensing (PMS). Several PMS platforms provide multiple functions for various sensing purposes, but they are suffering from the open issues: limited use of their functions for a specific scenario/case and requiring technical knowledge for organizers. In this paper, we propose a novel PMS platform named ParmoSense for easily and flexibly collecting urban environmental information. To reduce the burden on both organizers and participants, in ParmoSense, we employ two novel features: modularization of functions and scenario-based PMS system description. For modularization, we provide the essential PMS functions as modules which can be easily chosen and combined for sensing in different scenarios. The scenario-based description feature allows organizers to easily and quickly set up a new participatory sensing instance and participants to easily install the corresponding scenario and participate in the sensing. Moreover, ParmoSense provides GUI tools as well for creating and distributing PMS system easily, editing and visualizing collected data quickly. It also provides multiple functions for encouraging participants' motivation for sustainable operation of the system. Through performance comparison with existing PMS platforms, we confirmed ParmoSense shows the best cost-performance in the perspective of the workload for preparing PMS system and varieties of functions. In addition, to evaluate the availability and usability of ParmoSense, we conducted 19 case studies, which have different locations, scales, and purposes, over 4 years with cooperation from ordinary citizens. Through the case studies and the questionnaire survey for participants and organizers, we confirmed that ParmoSense can be easily operated and participated by ordinary citizens including non-technical persons., Comment: 24 pages, 9 figures

Published
2021
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9. EHAAS: Energy Harvesters As A Sensor for Place Recognition on Wearables

Author

Umetsu, Yoshinori, Nakamura, Yugo, Arakawa, Yutaka, Fujimoto, Manato, and Suwa, Hirohiko

Subjects
Computer Science - Human-Computer Interaction
Abstract

A wearable based long-term lifelogging system is desirable for the purpose of reviewing and improving users' lifestyle habits. Energy harvesting (EH) is a promising means for realizing sustainable lifelogging. However, present EH technologies suffer from instability of the generated electricity caused by changes of environment, e.g., the output of a solar cell varies based on its material, light intensity, and light wavelength. In this paper, we leverage this instability of EH technologies for other purposes, in addition to its use as an energy source. Specifically, we propose to determine the variation of generated electricity as a sensor for recognizing "places" where the user visits, which is important information in the lifelogging system. First, we investigate the amount of generated electricity of selected energy harvesting elements in various environments. Second, we design a system called EHAAS (Energy Harvesters As A Sensor) where energy harvesting elements are used as a sensor. With EHAAS, we propose a place recognition method based on machine-learning and implement a prototype wearable system. Our prototype evaluation confirms that EHAAS achieves a place recognition accuracy of 88.5% F-value for nine different indoor and outdoor places. This result is better than the results of existing sensors (3-axis accelerometer and brightness). We also clarify that only two types of solar cells are required for recognizing a place with 86.2% accuracy., Comment: 10 pages, 11 figures, accepted for publication in The International Conference on Pervasive Computing and Communications (PerCom) 2019

Published
2019

11. Context-Aware Chatbot Based on Cyber-Physical Sensing for Promoting Serendipitous Face-to-Face Communication

Author

Tanaka, Hirokazu, Motomatsu, Hiromu, Nakamura, Yugo, Arakawa, Yutaka, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Baghaei, Nilufar, editor, Vassileva, Julita, editor, Ali, Raian, editor, and Oyibo, Kiemute, editor

Published
2022
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12. A Privacy-Aware Browser Extension to Track User Search Behavior for Programming Course Supplement

Author

Makhlouf, Jihed, Arakawa, Yutaka, Watanabe, Ko, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Hara, Takahiro, editor, and Yamaguchi, Hirozumi, editor

Published
2022
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13. Design of Room-Layout Estimator Using Smart Speaker

Author

Joya, Tomoki, Ishida, Shigemi, Mitsukude, Yudai, Arakawa, Yutaka, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Hara, Takahiro, editor, and Yamaguchi, Hirozumi, editor

Published
2022
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20. Walking Pace Induction Application Based on the BPM and RhythmValue of Music

Author

Otsubo, Atsushi, Suwa, Hirohiko, Arakawa, Yutaka, Yasumoto, Keiichi, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, O'Hare, Gregory M.P., editor, O'Grady, Michael J., editor, O’Donoghue, John, editor, and Henn, Patrick, editor

Published
2020
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21. LightSub: Unobtrusive Subtitles with Reduced Information and Decreased Eye Movement.

Author

Nishi, Yuki, Nakamura, Yugo, Fukushima, Shogo, and Arakawa, Yutaka

Subjects
GAZE, EYE movements, COGNITIVE load, TELEVISION programs, ENGLISH language, TELEVISION viewing
Abstract

Subtitles play a crucial role in facilitating the understanding of visual content when watching films and television programs. In this study, we propose a method for presenting subtitles in a way that considers cognitive load when viewing video content in a non-native language. Subtitles are generally displayed at the bottom of the screen, which causes frequent eye focus switching between subtitles and video, increasing the cognitive load. In our proposed method, we focused on the position, display time, and amount of information contained in the subtitles to reduce the cognitive load and to avoid disturbing the viewer's concentration. We conducted two experiments to investigate the effects of our proposed subtitle method on gaze distribution, comprehension, and cognitive load during English-language video viewing. Twelve non-native English-speaking subjects participated in the first experiment. The results show that participants' gazes were more focused around the center of the screen when using our proposed subtitles compared to regular subtitles. Comprehension levels recorded using LightSub were similar, but slightly inferior to those recorded using regular subtitles. However, it was confirmed that most of the participants were viewing the video with a higher cognitive load using the proposed subtitle method. In the second experiment, we investigated subtitles considering connected speech form in English with 18 non-native English speakers. The results revealed that the proposed method, considering connected speech form, demonstrated an improvement in cognitive load during video viewing but it remained higher than that of regular subtitles. [ABSTRACT FROM AUTHOR]

Published
2024
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22. Estimating User Satisfaction Impact in Cities Using Physical Reaction Sensing and Multimodal Dialogue System

Author

Matsuda, Yuki, Fedotov, Dmitrii, Takahashi, Yuta, Arakawa, Yutaka, Yasumoto, Keiichi, Minker, Wolfgang, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, D'Haro, Luis Fernando, editor, Banchs, Rafael E., editor, and Li, Haizhou, editor

Published
2019
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23. A Cooking Support System for Seasoning with Smart Cruet

Author

Kido, Yuta, Mizumoto, Teruhiro, Suwa, Hirohiko, Arakawa, Yutaka, Yasumoto, Keiichi, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Zhou, Jia, editor, and Salvendy, Gavriel, editor

Published
2019
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25. A Method for Simplified HRQOL Measurement by Smart Devices

Author

Amenomori, Chishu, Mizumoto, Teruhiro, Suwa, Hirohiko, Arakawa, Yutaka, Yasumoto, Keiichi, Akan, Ozgur, Series Editor, Bellavista, Paolo, Series Editor, Cao, Jiannong, Series Editor, Coulson, Geoffrey, Series Editor, Dressler, Falko, Series Editor, Ferrari, Domenico, Series Editor, Gerla, Mario, Series Editor, Kobayashi, Hisashi, Series Editor, Palazzo, Sergio, Series Editor, Sahni, Sartaj, Series Editor, Shen, Xuemin (Sherman), Series Editor, Stan, Mircea, Series Editor, Xiaohua, Jia, Series Editor, Zomaya, Albert Y., Series Editor, Perego, Paolo, editor, Rahmani, Amir M., editor, and TaheriNejad, Nima, editor

Published
2018
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26. Energy Harvesting Sensor Node Toward Zero Energy In-Network Sensor Data Processing

Author

Morita, Tatsuya, Fujiwara, Masashi, Arakawa, Yutaka, Suwa, Hirohiko, Yasumoto, Keiichi, Akan, Ozgur, Series Editor, Bellavista, Paolo, Series Editor, Cao, Jiannong, Series Editor, Coulson, Geoffrey, Series Editor, Dressler, Falko, Series Editor, Ferrari, Domenico, Series Editor, Gerla, Mario, Series Editor, Kobayashi, Hisashi, Series Editor, Palazzo, Sergio, Series Editor, Sahni, Sartaj, Series Editor, Shen, Xuemin (Sherman), Series Editor, Stan, Mircea, Series Editor, Xiaohua, Jia, Series Editor, Zomaya, Albert Y., Series Editor, Murao, Kazuya, editor, Ohmura, Ren, editor, Inoue, Sozo, editor, and Gotoh, Yusuke, editor

Published
2018
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41. Spatial Statistics with Three-Tier Breadth First Search for Analyzing Social Geocontents

Author

Arakawa, Yutaka, Tagashira, Shigeaki, Fukuda, Akira, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, König, Andreas, editor, Dengel, Andreas, editor, Hinkelmann, Knut, editor, Kise, Koichi, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2011
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