Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Kohji Dohsaka"'
Publikováno v:
2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS).
Publikováno v:
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics. 32:663-667
Publikováno v:
LifeTech
Emotion recognition in natural language text is one of the critical technologies in the human-computer interface in a wide range of fields, including health and well-being, and labeled data plays a significant role in developing such technology. This
Autor:
Hirotoshi Taira, Yasuhiro Minami, Kohji Dohsaka, Ryuichiro Higashinaka, Kohei Koyama, Hiromi Narimatsu
Publikováno v:
Proceedings of the Second Workshop on Scholarly Document Processing.
With the increase in the number of published academic papers, growing expectations have been placed on research related to supporting the writing process of scientific papers. Recently, research has been conducted on various tasks such as citation wo
Publikováno v:
LifeTech
In this paper, we propose a leaving bed detection method using an RGB-D Camera to prevent fall accidents when a care recipient leaves the bed. We classified the pose when getting out of the bed into four types, and attempted to determine the pose by
Publikováno v:
LifeTech
Judgment of the appropriate time for harvesting high-quality fruits is performed by visual inspection, which is a qualitative evaluation, and the criteria are not quantitatively determined. The purpose of this study is to develop a system for quantit
Publikováno v:
LifeTech
To elucidate relationships between changes in brain activity associated with emotional image presentation, EEG spectra were analyzed in the resting state and during Positive or Negative image presentation using wearable electrical encephalogram (EEG)
Publikováno v:
IEICE Transactions on Information and Systems. :2147-2156
Learning to control listening-oriented dialogue using partially observable markov decision processes
Publikováno v:
ACM Transactions on Speech and Language Processing. 10:1-20
Our aim is to build listening agents that attentively listen to their users and satisfy their desire to speak and have themselves heard. This article investigates how to automatically create a dialogue control component of such a listening agent. We
Publikováno v:
Journal of the Robotics Society of Japan. 29:887-890