@inproceedings{oai:ipsj.ixsq.nii.ac.jp:00216203,
 author = {Takumi, Iguchi and Midori, Sugaya and Takumi, Iguchi and Midori, Sugaya},
 book = {Proceedings of Asia Pacific Conference on Robot IoT System Development and Platform},
 month = {Jan},
 note = {Nowadays, robots have been rapidly used in various situations to communicate with human. Since emotion is one of the most important factors in communication, it is necessary for robot to understand emotion so that they can interact with human naturally. In this research, we have developed an emotion estimation function employing biological information called "emotion-ROS" in Robot Operating System (ROS). The function handles the acquisition of biological information and the emotion estimation. Since it looks natural that robots should react to human's emotional changes within one second, we investigated the response time between the acquisition and the output. As a result, they were in a range of 60 to 100ms for more than half of the trials, which confirms that our developed function meets the necessary requirement., Nowadays, robots have been rapidly used in various situations to communicate with human. Since emotion is one of the most important factors in communication, it is necessary for robot to understand emotion so that they can interact with human naturally. In this research, we have developed an emotion estimation function employing biological information called "emotion-ROS" in Robot Operating System (ROS). The function handles the acquisition of biological information and the emotion estimation. Since it looks natural that robots should react to human's emotional changes within one second, we investigated the response time between the acquisition and the output. As a result, they were in a range of 60 to 100ms for more than half of the trials, which confirms that our developed function meets the necessary requirement.},
 pages = {110--111},
 publisher = {情報処理学会},
 title = {Real-time emotion estimation ROS component for Robot to Communicate with Human},
 volume = {2021},
 year = {2022}
}