Society 5.0 Projects
Institute for Datability Science, Osaka University is now working on Society 5.0 using information science and technology.
In the world of Society 5.0, innovations in IoT, Big Data, robotics, and AI will be part of everyday life, helping people lead active and high-quality lives, creating a super-smart society. This project encourages collaboration across projects and university organizations, thus promoting faster adoption of research results in real-world society.
Under this big project, we are working two sub-projects:
Social sensing for Society 5.0
Sensing technologies that aggregate various types of information from publicly and ubiquitously available social probes including social networking services are essential for providing various services in the world of Society 5.0. We are working towards establishing a social sensing technology that can infer emotional states of people for timely services.
Future school technology for Society 5.0
Education everywhere is one of SDGs, and e-learning is one solution toward this. We collectively working on a broad range of technologies related to e-learning.
Manisha Verma
Specially-Appointed Researcher/Fellow
Manisha’s research interest broadly lies in computer vision and image processing. Currently, she is working on micro facial expression recognition using multi-model deep learning frameworks.
Tomoyuki Kajiwara
Guest Assistant Professor
Natural Language Processing. Especially: Text Simplification, Paraphrasing, Semantic Textual Similarity, Quality Estimation.
Noriko Takemura
Guest Associate Professor
She is working on ambient intelligence and gait recognition using pattern recognition and machine learning.
Yuta Nakashima
Professor
Yuta Nakashima is a professor with Institute for Datability Science, Osaka University. His research interests include computer vision, pattern recognition, natural langauge processing, and their applications.
Hajime Nagahara
Professor
He is working on computer vision and pattern recognition. His main research interests lie in image/video recognition and understanding, as well as applications of natural language processing techniques.