KINDAI UNIVERSITY


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TADA Masahiro

Profile

FacultyDepartment of Informatics / Graduate School of Science and Engineering Research / Kindai University Cyber Informatics Research Institute
PositionAssociate Professor
Degree
Commentator Guidehttps://www.kindai.ac.jp/meikan/468-tada-masahiro.html
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Last Updated :2020/04/04

Education and Career

Education

  •   1997 04  - 2001 03 , Chuo University, Faculty of Science and Engineering
  •   2001 04  - 2003 03 , Chuo University
  •   2003 04  - 2005 03 , Chuo University

Academic & Professional Experience

  •   2018 04 ,  - 現在, Faculty of Science and Engineering, Kindai University
  •   2013 04 ,  - 2018 03 , Faculty of Science and Engineering, Kindai University

Research Activities

Research Areas

  • Informatics, Human interfaces and interactions
  • Social infrastructure (civil Engineering, architecture, disaster prevention), Civil engineering (planning and transportation)
  • Informatics, Intelligent informatics

Published Papers

  • A Study on the Behavior of Pedestrians when Confirming Approach of Right/Left-Turning Vehicle while Crossing a Crosswalk, Masahiro Tada, Journal of the Eastern Asia Society for Transportation Studies, Journal of the Eastern Asia Society for Transportation Studies, 10, 2109 - 2122, Dec. 2013 , Refereed
  • Prototyping Sensor Network System for Automatic Vital Data Collection, Methods of Informatics in Medicine, Methods of Informatics in Medicine, 52(3), 239 - 249, Apr. 2013
    Summary:This paper proposed a clinical sensor network system that relieves nurses from vital signs input tasks. The result clearly shows that the proposed system increases the efficiency and safety of the nursing process both subjectively and objectively. It is a step toward new generation of point of nursing care systems where sensors take over the tasks of data input from the nurses.

Misc

  • Activity recognition from many types of media for constructing personal health record system, 大槻 涼, 杉山 治, 鈴木 真生, 松村 耕平, 多田 昌裕, 野間 春生, 黒田 知宏, システム制御情報学会研究発表講演会講演論文集, 61, ROMBUNNO.134‐1,   2017 05 23 , http://ci.nii.ac.jp/naid/40021218633
  • An Analysis of Driving Characteristics Based on Driving Behavior Sensing Data, TADA Masahiro, NOMA Haruo, UTSUMI Akira, OKADA Masaya, RENGE Kazumi, 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 113, 84, 41, 46,   2013 06 14 , http://ci.nii.ac.jp/naid/110009778930
    Summary:Despite the great efforts that have been made to improve vehicles and road safety equipment, the number of traffic accidents, especially those involving elderly drivers, is still at a generally high level. In addition to focusing on vehicles and roadside safety, driving behavior should also be considered in schemes to reduce traffic accidents. We have been developing a system to automatically evaluate safe-driving skill through small wireless wearable sensors that directly measure the driver's behavior. Using the system, we trained over 1,000 drivers by providing a personalized training program according to the individual's own shortcomings in driving behavior. In this paper, using the measured driving behavior data in our training program, we investigate driving characteristics of drivers. We also introduce our real-time safety driving advice system.

Awards & Honors

  •   2012 03 , IEEE, WMUTE 2012 Best paper award, Multimodal Analysis of Spatial Characteristics of a Real-world Learning Field