This project is about estimating cognitive performance fluctuations through deep learning, using a combination of physiological signals and recorded behavior patterns as data. Rather than employing deep learning to mimic or surpass some human cognitive functions (such as visual object/face recognition, playing Go, etc.), we adopt a human-empowering framework and use deep learning to “learn deeply” about the human mind.
Era: GEIST lab, Graduate School of Media Design, Keio University (2015 to 2026).
Source: project page of the earlier geist.pro site, archived copy.