3 Good Health and Well-Being
9 Industry, Innovation and Infrastructure
Department
Computer Vision, Pattern Recognition, Sensing, Machine Learning
Keyword
Human behavior estimation, Privacy protection
Project
This project aims to build a human behavior estimation using information that less lead to personal identification. In particular, this project proposes a human behavior estimation that does not use information that leads to personal identification (e.g., images including users' faces and clothes, users' voices, or conversations). Instead, this project uses input that includes less personal information such as low-level signals without semantic information.
Desired joint research
Human state estimation or scene understanding with sparse sensor measurements, etc.
Collaboration track record
Nippon telegraph and telephone corporation (2022〜)
Profile
| Department： | Department of Applied Chemistry |
|---|---|
| Major： | School of Science for Open and Environmental Systems |
| Title： | Associate Professor |
Mariko Isogawa received her B.S., M.S., and Ph.D. degrees from Osaka University, Japan, in 2011, 2013, and 2019, respectively. From 2013 to 2022, she worked at Nippon Telegraph and Telephone Corporation as a Researcher. She was a Visiting Scholar at Carnegie Mellon University from 2019 to 2020. Since 2022, she has been affiliated with Keio University. She is currently an Associate Professor in the Department of Information and Computer Science, Faculty of Science and Technology, Keio University. Her research interests include computer vision, pattern recognition, sensing, and machine learning.
