-
MEMBERS ※As of April 2023
Department of Integrated Information Technology
Professor Yuichi Itoh (Representative) Professor Kazuhiko Sumi Professor Yoshito Tobe Professor Lopez Guillaume Professor Yonghao Yue Assistant Professor Koudai Ito Assistant Professor Keishiro Uragaki - OVRVIEW
With the evolution of high-performance and miniaturized computers, along with the proliferation of Internet of Things (IoT) devices, research has advanced in the domain of recognizing human states and conditions and augmenting human activities. The primary objective of this research endeavor is to foster a novel, symbiotic interaction environment where humans and computers coexist and mutually benefit.
This is achieved by developing innovative sensor devices, formulating effective methods for capturing sensor data, and investigating sophisticated techniques for extracting information via cameras, thereby bestowing upon computers an additional ‘visual’ capability.
Leveraging cutting-edge Artificial Intelligence (AI) methodologies and Machine Learning (ML) algorithms, the goal is to establish techniques that discern human states and conditions from the gathered information. Moreover, by creating display devices and information presentation techniques that engage different human sensory modalities based on the obtained data and promoting behavior modification, the ultimate aim is to enhance the Quality of Life (QoL).