For IGP Newcomers


Here at Dolylab (Prof. Sugaya Midori: Doly), our research focuses on emotion classification research, its innovative application, or system development, and so on.

Research regarding emotion classification will require the following additional knowledge, on top of basic computer science subjects.

  • Measurement of biological information, analysis of the measured data (from heart rate sensor, brain wave measurement), signal processing and analysis
  • Statistical analysis
  • Machine learning
  • Application (Robot, Embedded system, Computer Graphics and so on)

The IGP students will not only systematically learn this knowledge, but also support laboratory students in their research. We strongly wish to create the most suitable education method for IGP students by combining the IGP curriculum and the lab curriculum.


Overall Lab Curriculum (First Semester)

  • Instructor: Gift
  • TA: Imura
  • Period: Every Monday, 1st and 2nd Period (9:00-10:40, 10-50-12:30)
  • Textbook & Materials: The Oxford Handbook of Affective Computing (Tentative)
  • Number of credits: 4
  • Achievement goal:
    • 1) Students can manage his/her own research project
    • 2) Students can interpret result (data) from his/her own experiment
    • 3) Students can write academic style of report and submit to symposium or conference
OctLab introduction
To use research tools to record progress and planning
To search for literature
NovTo understand literature
To find research topic
Present your own research topic
DecTo do literature review
Planning for research
Perform preliminary experiment
JanData analysis
Report writing (academic style)
Submit paper or poster to international conference / symposium
  • Instructor: Tip
  • TA: Zhang
  • Period: Every Thursday, 2nd Period (10:50-12:30)
  • Textbook & Materials: NeuroSky brainwave sensor, Pulse sensor (Tentative)
  • Number of credits: 2
  • Achievement goal:
    • 1) Students can perform experiment on basic emotion estimation: using sensors (brainwave sensor and/or pulse sensor) to record data and basic statistics to analyze data.
    • 2) Students can make academic presentation of their experiment
OctIntroduction to tools (sensors) for research
Practice using tools
NovLearn how to design and perform experiment
Visualize and interpret data from experiment
DecAnalyze experimental data with SPSS
Discuss experimental result
JanLearn how to make academic presentation
Course review and summary
Note: The objectives of this course are in parallel to Research 1.
  • Instructor: Adilin
  • TA: Narumon
  • Period: Every Friday, 2nd Period (10:50-12:30)
  • Textbook & Materials: Arduino kit (Tentative)
  • Number of credits: 2
  • Achievement goal:
    • 1) Student can create things by utilizing sensors.
    • 2) Student understand the real-time system in device surrounding.
OctIntroduction to IoT, IR4.0
Foundation of the electronic circuit and sensors
NovApplication of the electronic circuit and sensor with Arduino
DecFoundation ofthe real-time system
Application of the real-time system with Arduino
JanIoT device project development

Upcoming Events

Course registrartion
– Courses outside IGP
– IGP courses

9-17 Sep (Until 16:00)
17 Sep – 15 Oct (except 3, 4 Oct)
Admission Guidance (by Student Affairs Section)
SIT orientation (by IGP Faculty)
Lab orientation (by DolyLab)
17 Sep11:00 – 12:00
13:30 – 15:30
15:30 –
Entrance ceremony23 Sep11:00 – 11:45
Semester starts25 Sep
Welcome event with lab membersTBDTBD


ConferencePeriodVenueSubmission Deadline
HCII202124-29 July 2021Washington DC, USATBD