Dai Hasegawa

Work Experience

  • Hokkai Gakuen University

    April, 2018 – present

    Associate Professor,  Department of Life Science and Technology, Faculty of Engineering

  • Tokyo University of Technology

    Oct, 2017 – March 

    Assistant Professor, Social Media Course, School of Media Science

  • NVT Co., Ltd.

    Dec, 2016 – present

    Chief Technical Officer

  • Aoyama Gakuin University

    April, 2013 – Sep, 2017

    Assistant Professor, Department of Integrated Information Technology, College of Science and Engineering

  • Aoyama Gakuin University

    April, 2012 – Mar, 2013

    Research Associate, Department of Integrated Information Technology, College of Science and Engineering

Education

  • Hokkaido University

    Mar, 2012 / PhD in Information Science

    Field of Media and Network Technology, Graduate School of Information Science and Technology

  • Carnegie Mellon University

    Jan, 2011 – Mar, 2011 / Visiting Scholar

    Human Computer Interaction Institute, School of Computer Science

  • Northwestern University

    Oct, 2009 – April, 2010 / Visiting Scholar

    Department of Communication Studies, School of Communication

  • Hokkaido University

    Mar, 2009 / Master of Information Science

    Field of Media and Network Technology, Graduate School of Information Science and Technology

  • Hokkaido University

    Mar, 2007 / Undergraduate

    Department of Information Technology, School of Engineering

Publications

I am interested in allowing the human-likely embodied computational systems to help us in various ways and in various situations. The one way to do that is the systems autonomously interact with humans in human-like ways. And the other is the systems mediate human-human communication to make the interaction go smoother in certain circumstance such as communication between distant places. (There would be a mixed approach of both). I am working on developing theories and mechanisms in both areas, and addressing the impact and benefits of such technologies on education, medical care, distant communication, etc.

Lists of publication are available at researchmapresearchgate, or google scholar

Featured Work

We present a novel framework to automatically generate natural gesture motions accompanying speech from audio utterances.  Based on a Bi-Directional LSTM Network, our deep network learns speech-gesture relationships with both backward and forward consistencies over a long period of time. Our network regresses a full 3D skeletal pose of a human from perceptual features extracted from the input audio in each time step. 

Contact

〒064-0926 札幌市中央区南26条西11丁目1-1 北海学園大学工学部山鼻キャンパス2号館8階808号室