Updated on 2022/12/15

写真a

 
NISHIDA Yoshihiro
 

Degree

  • Doctor of Philosophy in Engineering   Coursework ( 2011.3   Wakayama University )

Research Interests

  • Pattern recognition

  • Ubiquitous computing

  • Embedded system

  • Human interface

Research Areas

  • Informatics / Human interface and interaction

  • Informatics / Database

Education

  • Osaka University   Department of Control Engineering   Graduated

    - 1982.3

  • Wakayama University   Graduate School of System Engineering   Doctor's Course   Accomplished credits for doctoral program

    - 2010.3

Research History

  • Mitsubishi Electric Corporation   Head Researcher

  • Fukui University of Technology   Professor

    2010.4 - 2015.3

  • Fukui University of Technology   Professor

    2012.4

  • Fukui University of Technology   Professor

    2015.4

Professional Memberships

  • Human Interface Society

  • The Institute of Electronics, Information and Communication Engineers

  • Rehabilitation Engineering Society of Japan

 

Papers

  • Studies on Recognition of Handwritten Characters in the Air Using Deep Learning

    Daiyu Hanafusa, Yoshihiro Nishida

    ( 49 )   12 - 18   2019.12

    　More details

    This paper presents a method to recognize a character handwritten in the air. We had prototyped an aerial handwritten hiragana character recognition system that detect single character period by hovering in the air using DP (dynamic programming) matching. In this time, we investigate an aerial handwritten character recognition system using machine learning. We use two features, vector and picture. Feature of vector is relative direction of handwriting information. It is a time series information so we use LSTM(Long Short Term Memory) to learn data of characters. Feature of picture is absolutely handwriting information. We use CNN(Convolution Neural Network) to learn data of characters, because this model is suitable for picture recognize. We compared correct recognition rate of using LSTM and using CNN. We estimated features of both methods.

  • A Research for Aerial Handwritten Gesture Recognition with Kinect Interaction

    ( 44 )   25 - 30   2014.5

  • Input method Editor for Aerial Handwritten Gesture Recognition

    ( 43 )   21 - 28   2013.5

  • An Aerial Hanfwritten Character Recognition Using Moving Direction Only Reviewed

    12 ( 3 )   289 - 296   2010.8

 

Teaching Experience

  • Research for Graduation

    Institution：Fukui University of Technology

  • Advanced Computer System

    Institution：Fukui University of Technology

  • Computer Language Ⅰ

    Institution：Fukui University of Technology

  • Discrete Mathematics

    Institution：Fukui University of Technology

  • Electrical, Electronics and Computer Engineering Practice Ⅰ

    Institution：Fukui University of Technology

  • Electrical, Electronics and Computer Engineering Practice Ⅳ

    Institution：Fukui University of Technology

  • Embedded Systems

    Institution：Fukui University of Technology

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