Profile

Manato Fujimoto

Assistant Professor, Ph. D.
Ubiquitous Computing Systems Laboratory
Nara Institute of Science and Technology

Manato Fujimoto received the B.E., M.E., and Ph. D. degrees from Kansai University, Osaka, Japan, in 2009, 2011, and 2015, respectively. He was a research fellow for young scientists of the Japan Society for the Promotion of Science (JSPS) from April 2014 to March 2015. Since April 2015, he has been an assistant professor at the Graduate School of Information Science, Nara Institute of Science and Technology. His research interests include wireless networks, position estimation, activity recognition, and elderly monitoring. He is a member of the IEEE, IEICE, and IPSJ.
[Grants Information]

Selected Publications

[Selected Journals]

  1. Zhihua Zhang, Juliana Miehle, Yuki Matsuda, Manato Fujimoto, Yutaka Arakawa, Keiichi Yasumoto, and Wolfgang Minker:
    Exploring the Impacts of Elaborateness and Indirectness in a Behavior Change Support System,
    IEEE Access, Vol. 9, pp. 74778-74788, May 2021. (Impact Factor = 3.745)

  2. Zhihua Zhang, Yuta Takahashi, Manato Fujimoto, Yutaka Arakawa, and Keiichi Yasumoto:
    Investigating effects of interactive-signage-based stimulation for promoting behavior change,
    Computational Intelligence, vol. 35, Issue 3, pp. 643-668, Aug. 2019. (Impact Factor = 1.196)

  3. Tatsuya Morita, Kenta Taki, Manato Fujimoto, Hirohiko Suwa, Yutaka Arakawa, and Keiichi Yasumoto:
    Beacon-based Time-Spatial Recognition toward Automatic Daily Care Reporting for Nursing Homes,
    Journal of Sensors, Vol. 2018, Article ID 2625195, 15 pages, Aug. 2018. (Impact Factor = 1.595)

  4. Edgar Marko Trono, Manato Fujimoto, Hirohiko Suwa, Yutaka Arakawa, and Keiichi Yasumoto:
    Generating pedestrian maps of disaster areas through ad-hoc deployment of computing resources across a DTN,
    Computer Communications, Vol. 100, pp. 129-142, Mar. 2017. (Impact Factor = 2.816)

[Selected Conferences]

  1. Yoshinori Umetsu, Yugo Nakamura, Yutaka Arakawa, Manato Fujimoto, and Hirohiko Suwa:
    EHAAS: Energy Harvesters As A Sensor for Place Recognition on Wearables,
    IEEE International Conference on Pervasive Computing and Communications (PerCom 2019), pp. 222-231, Kyoto, Japan, Mar. 2019.
    (acceptance rate = 30/151 = 19.8%)

  2. Philipp Voigt, Matthias Budde, Erik Pescara, Manato Fujimoto, Keiichi Yasumoto, and Michael Beigl:
    Feasibility of Human Activity Recognition Using Wearable Depth Cameras,
    ACM International Symposium on Wearable Computers (ISWC’18), pp. 92-95, Singapore, Singapore, Oct. 2018.

  3. Manato Fujimoto, Norie Uchitomi, Atsuki Inada, Tomotaka Wada, Kouichi Mutsuura, and Hiromi Okada:
    A Novel Method for Position Estimation of Passive RFID Tags; Swift Communication Range Recognition (S-CRR) Method,
    IEEE Global Telecommunications Conference (GLOBECOM 2010), 6 pages, Miami, FL, USA, Dec. 2010.

Contact

E-mail: manato [at] is.naist.jp