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.
Members
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
| Month | Objective |
|---|---|
| Oct | Lab introduction To use research tools to record progress and planning To search for literature |
| Nov | To understand literature To find research topic Present your own research topic |
| Dec | To do literature review Planning for research Perform preliminary experiment |
| Jan | Data 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
| Month | Objective |
|---|---|
| Oct | Introduction to tools (sensors) for research Practice using tools |
| Nov | Learn how to design and perform experiment Visualize and interpret data from experiment |
| Dec | Analyze experimental data with SPSS Discuss experimental result |
| Jan | Learn how to make academic presentation Course review and summary |
- 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.
| Month | Objective |
|---|---|
| Oct | Introduction to IoT, IR4.0 Foundation of the electronic circuit and sensors |
| Nov | Application of the electronic circuit and sensor with Arduino |
| Dec | Foundation ofthe real-time system Application of the real-time system with Arduino |
| Jan | IoT device project development |
Upcoming Events
| Event | Date | Time |
|---|---|---|
| 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 Sep | 11:00 – 12:00 13:30 – 15:30 15:30 – |
| Entrance ceremony | 23 Sep | 11:00 – 11:45 |
| Semester starts | 25 Sep | – |
| Welcome event with lab members | TBD | TBD |
Conferences
| Conference | Period | Venue | Submission Deadline |
|---|---|---|---|
| HCII2021 | 24-29 July 2021 | Washington DC, USA | TBD |