Wu Lab.

Human Sensing Laboratory (ヒューマン・センシング研究室)

Registered students (2024): D4:1, M2:4, M1:3, Rs:3, Total: 11    -Lab. News-

  • Supervisor (Bo Wu，Ph.D.)  -Link-

BO WU received the Ph.D. degree in Human Sciences from Waseda University, Tokyo, Japan in 2015. He is currently a lecturer in the School of Computer Science of Tokyo University of Technology, Japan. He also is a Research Follow with the Kansai University, DS lab. He has been engaged in the research fields of Internet of Things (IoT), information and computer science, and social and human informatics. His current research interests include human motion capture, eye-movement analysis, machine learning & Big data analysis, and human-centered application system development. Dr. Wu is a member of IEEE CS and Information Processing Society of Japan.

  • Publications   –Link–

  • Lab. Research Contents （研究内容）

      • The research goal of our lab is to Create New Value based on human sensing.
      • Sensing targets include Biosignals, Human motion, Eye movements, and Human-to-human or device output sensing etc.

  • 2025年度の募集計画：

  • 修士：締め切り（定員最大6人）
  • 博士：締め切り（定員最大2人）
  • 研究生・科目等履修生：2025年1月から募集開始予定（定員最大2人）

  • Keywords （キーワード）

    • Human behavior Analysis;
    • Deep learning;
    • XR (Cross Reality)
    • Agricultural work support;
    • Body motion measurement;
    • Driver Characteristics Analysis;
    • Eye-tracking;
    • Empirical mode decomposition;
    • Human-computer interaction (HCI);
    • Vehicle Driving;
    • Usercentered design.

  • Core Technologies & Devices（コア技術） -Link-

Eye Tracker (Tobii Pro Glasses 3)

  Tobii Pro Glasses 3 is an Eye tracker device which designed to enable easy, precise, and efficient collection of eye tracking data in a wide variety of research scenarios.
  Accurate data and robust eye tracking capabilities can be relied on in uncontrolled situations and real-world environments.

Motion Capture Device (Xsens MVN)

  Xsens MVN is a wearable acceleration sensor-based motion capture device.
  Unlike traditional motion capture devices which usually use a 17-joint model to represent the human body, the MVN device can collect data from 23 joints.

  • Research Topics (研究例) -Link-

Analysis on Falling Risk of Elderly Workers when Mowing on a Slope

  Mowing is one of the most dangerous tasks in agricultural production which may cause accidents such as falling or accidental cutting. However, in the areas of mountainous in Japan, the mowing works still need to be done via the manually operated machines.
  In this research, we focus more on the mowing workers’ personal factors and try to analyze the effect on their falling risk via a high precision motion capture device (Xsens MVN) and Eye tracker (Tobii Pro Glasses 3).

Multi Sensor-based Driver Behaviors Analyzing and Modeling

  About 90% of traffic accidents are due to human error, human factors may affect a driver's braking behaviors and thus their driving safety, especially . 
  To determine the effect of different human factors on drivers' pre-braking behaviors, This study focused on analyzing drivers' local joints by a motion capture device. Hilbert–Huang Transform (HHT)-based local human body movement analysis method was used to decompose the realistic complex pre-braking actions.
Ph.D. four-year students （D4）
    • Yu Qi –AIを活用した演劇指導（評価の部分に特化） —休学中 論文数条件クリア済み
Master’s Degree 2nd year students (M2)
    • Jun Wang –アイトラッキングに基づくコミュニケーション用スケッチ描画過程解析に関する研究
    • Siyu Xiong –コミュニケーション能力の向上のための微表情における知的感情分析システムの開発に関する研究
    • Siwei Zhao –ジェスチャーと表情を両方考慮したクラウド型手話翻訳システム開発に関する研究
    • Xiangyu Su –スマートグラスにおける筆跡と指の動きによるマルチモーダル認証システム開発に関する研究
Master’s degree 1st year students（M1）
    • Qirun Wang —Analyzing the Effects of Driving Experience on Backing Maneuvers Based on Data Collected by  Eye-Tracking Devices
    • Yanmei Jiao — リアルタイムな視線検出を用いたウォークスルー 型身分認証システムの開発に関する研究
    • Wenjiong Deng –自動車運転手がギアを切り替える際の視覚に関する研究
Research Student
    • Chenhao Li   –アイトラッカーに基づく疲労運転判定
    • Hang Yi
    • Changlong Xu
Alumnus (Graduate)
    • Zijun Wang (Waseda University Ph.D. Student ・Jin Lab.) — A privacy-conscious real-time fall detection system design via depth camera
    • Xuan Huang (Waseda University Ph.D.Student ・ Nishimura Lab.・ RA) –A Pose Detection based Continuous Authentication System Design via Gait Feature Analysis
    • Jie Gao (Employment in IT Corporation, Japan) –A Wearable Warning System Design for Mask Recognition via AR Smart Glasses
    • Chu Zhang (Repatriation, China) –スマートグラスに基づく手話認識と翻訳システムの開発に関する研究
Pre-Entry Students (2025)
    • Qianyue Xu
    • Zhenzheng Xu
Undergraduates (Fourth-year student)
    • None.
Undergraduates (Third-year student)
    • None.
Others
    • Ningyu Guo — Design of Household Robotic Arm System to sort Recyclable Resources based on Deep Learning