Atmosphere estimation system for family-type robot in living space is proposed to realize smart symbiotic space, where a three-dimensional atmosphere (atmosfield) is calculated based on multiple human emotions recognized from webcam video. The system is implemented with OpenCV and Dlib for face and emotion recognition, and tested for webcam arrangement. As a result of the experiment for thee human and two LOVOTs interaction in the living space, the proposed system has shown the highest detection of times of 380 at the level of 0.45m from the floor and the front (0 deg) of the users in face recognition. The proposed atmosphere estimation realizes casual and delicate support service for people in smart living environment.
Yoichi Yamazaki, Takuya Hayama, Masanobu Nakamura, Wataru Kutsuzawa, Kazuaki Takeuchi and Masao Isshiki, "Home Atmosphere Visualization Based on Motion Sensing in Smart Living Room", Proc. of 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech), pp.280-281, Mar. 2020, DOI: 10.1109/LifeTech48969.2020.1570618842.