RESEARCH

In our laboratory, we aim to maintain positive and prosperous physical and mental health by finding small “Pleasures” in our daily lives. Utilizing an ergonomic approach, we will build a control system with human condition sensing and proper condition maintenance feedback at work, school, and home. By applying small “Pleasures” visualization, recall triggers, reward effects, etc., we will work to improve human motivation and elucidate the mechanism.

Our research areas are based on knowledge of ergonomics (human factors), human interface, signal processing technologies, AI, XR, and more. Our goal is to combine these to improve the quality of both people's ON and OFF sides. We are operating our lab to promote mutual exchange with the related laboratory, “Innovative Learning Creation Studies” (Graduate School of Frontier Sciences, The University of Tokyo).

image
Discover small “Pleasures” and utilize them to improve people's motivation.
image
Ideas for small “Pleasures” measurement and feedback methods.

Facial expression measurement

Facial expression measurement with analyzing facial images taken by a web camera and detecting facial feature points. Facial expression is one of the features of understanding the states of mind.
We believe that discovering and cutting out the “Pleasure” that occurs at the moment of work, learning, and daily lives, using it as feedback to maintain and improve motivation, will be the optimal trigger for recalling positive feelings for each person.

   

Emotion estimation from facial expression

Emotions are estimated by applying machine learning to facial expressions (feature points). We challenge to estimate several emotions based on the estimation of 7 basic emotions (angry, disgust, fear, happy, sad, surprise, and neutral).
We aim to elucidate new knowledge about facial expression changes when we touch little emotions of “Pleasure” and what type of feedback effectively maintains a positive and satisfying mental and physical condition.

   

LINKS