Welcome to Sezaki Laboratory

Our research concerns 2 topics. First is to consider the support of the creative social activities, which utilize network, and the creation of new application. The other is to operate the network element, system technology and system development of various applications

Prospective students and researchers are always welcome to join our team.

News

Our paper “SelfGuard: Semi-Automated Activity Tracking for Enhancing Self-Protection against the COVID-19 Pandemic” is accepted by ACM SenSys2020 (COVID-19 Pandemic Response session). Yuuki Nishiyama (Assistant Professor), Takuro Yonezawa (Associate Professor from Nagoya University), and Kaoru Sezaki (Professor) wrote the paper.

Yuuki Nishiyama, Takuro Yonezawa, Kaoru Sezaki: SelfGuard: Semi-Automated Activity Tracking for Enhancing Self-Protection against the COVID-19 Pandemic. In: the 18th ACM Conference on Embedded Networked Sensor Systems (SenSys '20), COVID-19 Pandemic Response, Virtual Event, Japan , pp. 780–781, Association for Computing Machinery, New York, NY, USA, 2020, ISBN: 978-1-4503-7590-0/20/11.

 

Abstract

Contagious diseases like COVID-19 spread periodically and threaten our lives. Self-protection, such as washing hands, wearing a mask, and staying home, are simple and practical solutions to safeguard against these diseases. Most governments and health departments recommend that people maintain self-protection. Although continuous self-protection effectively prevents the spread of infection, only the intent to self-protect is unsustainable in the long term. In this study, we design, develop, and deploy an application to track users' daily activities semi-automatically and enhance self-protection behavior using mobile sensing and gamified feedback techniques. Currently, more than 324 people have installed the app via AppStore, and 52 users have shared their activity data to our research group.

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Research Topics

Mobile/Wearable Sensing

Detect environment and human/people behavior by using hardware, software and human sensors on smartphones/wearable devices

Wireless Sensor Network

Optimization of wireless sensor network routing, computational processing, and power consumption through simulation and real-world measurement experiments

Spatical Analytics

Collection and analysis of location information and related data. Mainly, assessing and predicting the impact of MaaS on cities.

Behavior Change & Well-being

Context awareness and information providing methods for promoting human behavioral change and realizing Well-being by using information technologies

Publications

You can get our publications via the next button.

Contact

Location

Ew-601 ( Laboratory ) / Ee-309 ( Professor’s room )

Institute of Industrial Science, The University of Tokyo

4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, JAPAN

Contact Us

Laboratory (Fax included):
+81-3-5452-6268 (Extention: 56268)

Prof. Sezaki:
+81-3-5452-6266 (Extention : 56266)

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