Research Profile

Yuuki Nishiyama, Ph.D.

Assistant Professor, Center for Spatial Information Science, The University of Tokyo

Yuuki Nishiyama is an Assistant Professor at the Center for Spatial Information Science in the University of Tokyo. He obtained M.S.(2014) in Media and Governance from Keio University, and Ph.D. in Media and Governance (2017) from Keio University, respectively. He had worked at Keio University in Japan and the University of Oulu in Finland, as a post-doctoral researcher respectively. He started work at the Institute of Industrial Science in the University of Tokyo as a Research Associate in 2019, and has held his current position since 2022. His current research interests include ubiquitous computing systems, mobile-wearable sensing platforms, and human ability augmentation. He is a member of ACM, IEEE, and Information Processing Society of Japan (IPSJ). 

Background

  • Assistant Professor : Center for Spatial Information Science, The University of Tokyo (Apr. 2022 – current)
  • Research Associate : Institute of Industrial Science, The University of Tokyo (Jul. 2019 – Mar. 2022)
  • Postdoctoral Researcher: Faculty of Information Technology and Electrical Engineering, University of Oulu, Finland (Mar. 2018 – Jun. 2019) 
  • Postdoctoral Researcher: Graduate School of Media and Governance, Keio University, Japan (Aug. 2017 – Mar. 2018)
  • Research Assistant: Global Environmental System Leader (GESL) program, Graduate School of Media and Governance, Keio University, Japan (Apr. 2014 – Mar. 2017)

News

  • A Late Breaking Results paper “Assessing Infant and Toddler Behaviors through Wearable Inertial Sensors: A Preliminary Investigation” was accepted in the 20th ACM International Conference on Multimodal Interaction (ICMI2023).
  • A workshop paper, “Smartwatch-Based Sensing Framework for Continuous Data Collection: Design and Implementation”, was accepted in the ACM UbiComp/ISWC Workshop (8th Mental Health: Sensing & Intervention).
  • A full paper “HeadSense: Visual Search Monitoring and Distracted Behavior Detection for Bicycle Riders” was accepted in the 24th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM2023).
  • A full paper “HeadMon: Head Dynamics Enabled Riding Maneuver Prediction” was accepted in IEEE International Conference on Pervasive Computing and Communications (PerCom2023).
  • We had two presentations about AthelteLife and UV estimation using GNSS Signal Strength in IPSJ SIG UBI78.
  • We had a presentation about a baby behavior recogntion method using a wearable motion sensor in the 85th National Convention of IPSJ.
  • A full paper “Detecting hand hygienic behaviors in-the-wild using a microphone and motion sensor on a smartwatch” was accepted in 25th HCI International Conference (HCII2023).
  • Two full papers regarding distributed ML and opportunistic routing were accepeted in IEEE 20th Annual Consumer Communications & Networking Conference (CCNC)

Research Topics

  • Context-aware technologies and systems: 
    • Technology for recognizing and predicting the behavior of micro-mobility riders to improve the safety of micro-mobility
    • Detection technology of infant/toddler behavior and parenting behavior related behaviors to support child-rearing
    • Methods of detecting infection prevention behavior (i.e., hand-washing, mask-usage, and conversation events) using consumer devices
  • Passive mobile and wearable sensing and its platforms:
    • Postpartum depression detection using passive sensing technology
    • Development of information platform for improving the performance and condition of athletes using mobile/wearable devices: Athlete Life, MiQ, and Ripken.
    • Open-source passive mobile/wearable sensing platform (mainly iOS, watchOS, and Android): AWARE, Senbay, and MOCHA
  • Human behavior change and intervention methods:
    • Platform for promoting team-level behavior change using competitive and cooperative lifelog sharing
    • Investigation of the impact of the way incentives are offered on infectious disease prevention behavior
Details

Selected Publication

  • Y. Nishiyama, K. Sezaki, "Smartwatch-Based Sensing Framework for Continuous Data Collection: Design and Implementation," In: Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2023 ACM International Symposium on Wearable Computers, Association for Computing Machinery, Cancun, Mexico, 2023.
  • Z. Han, L. Xu, X. Dong, Y. Nishiyama, K. Sezaki "HeadMon: Head Dynamics Enabled Riding Maneuver Prediction," In: IEEE International Conference on Pervasive Computing and Communications (PerCom), IEEE, Atlanta, USA, 2023.
  • H. Peng, Y. Nishiyama, K. Sezaki, "Assessing environmental benefits from shared micromobility systems using machine learning algorithms and Monte Carlo simulation" In: Sustainable Cities and Society, pp. 104207, 2022, ISSN: 2210-6707.
  • Y. Nishiyama, H. Murakami, R. Suzuki, K. Oko, I. Sukeda, K. Sezaki, and Y. Kawahara, "MOCHA: Mobile Check-in Application for University Campuses Beyond COVID-19," In Proceedings of the 23rd International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, ACM, Seoul, Republic of Korea, 2022 (Presented in a joint workshop, MobiCOVID 2022)
  • Y. Nishiyama, et al. "Physical Activity Analysis of College Students during the COVID-19 Pandemic Using Smartphones," Transactions of Information Processing Society of Japan, vol. 62, no. 10, page 1630-1643, 2021.
  • Y. Nishiyama, K. Sezaki, "Experience Sampling Tool for Repetitive Skills Training in Sports Using Voice User Interface," In: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, pp. 54–55, Association for Computing Machinery, Virtual, USA, 2021
  • Y. Nishiyama, D. Ferreira, Y. Eigen, W. Sasaki, T. Okoshi, J. Nakazawa, A. K. Dey, and K. Sezaki, “iOS crowd-sensing won’t hurt a bit!: AWARE Framework and Sustainable Study Guideline for iOS Platform,” In: Streitz N., Konomi S. (eds) Distributed, Ambient and Pervasive Interactions. HCII 2020. Lecture Notes in Computer Science, vol 12203. Springer, Cham
  • Y. Nishiyama, T. Yonezawa, A. K Dey, J. Nakazawa , D. Ferreira, “Senbay: A Platform for Instantly Capturing, Integrating, and Restreaming of Synchronized Multiple Sensor-Data Stream”, ACM MobileHCI ’18 Demo, September 3–6, 2018, Barcelona, Spain (Honorable Mention Award)
  • Y. Nishiyama, T. Okoshi, T. Yonezawa, J. Nakazawa, K. Takashio, and H. Tokuda, “Towards Health Exercise Behavior Change for Teams Using Lifelog Sharing Models.,” IEEE J. Biomed. Heal. informatics, vol. PP, no. 99, p. 1, Sep. 2015.
  • Y. Nishiyama, T. Okoshi, T. Yonezawa, J. Nakazawa, K. Takashio, and H. Tokuda, "Towards Health Exercise Behavior Change for Teams Using Life-logging," In Proceedings of 2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (IEEE Healthcom’14), pages 397-403, Natal Brazil, 15 October 2014. (Best Paper Award)
Complete Publication List

Selected Awards

  • Honorable Mention Award in Demo Session, 20th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI 2018), September 2018
  • Best Young Researcher Award: IEICE Technical Committee on Ambient Intelligence and Sensor Networks, May 2015
  • SFC Student Award in KEIO University, March 2015
  • Best Paper Award in 2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (IEEE HealthCom 2014), October 2014
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