Prof. Seiichi Serikawa
Kyushu Institute of Technology
Seiichi Serikawa received B.S. and M.S. degrees in Electronic Engineering from Kumamoto University in 1984 and 1986. He received a Ph.D. degree in Electronic Engineering from Kyushu Institute of Technology in 1994. From 2014 to 2016, he was a Vice President of Kyushu Institute of Technology and also serves as a Professor in Center for Socio-Robotic Synthesis and the Department of Electrical and Electronic Engineering. Currently, he is the Dean of Faculty of Engineering of Kyushu Institute of Technology. His current research interests include computer vision, sensors, and robotics.
Title: Extreme Optics and Imaging for Deep-sea Observing
Absorption, scattering, and color distortion are three major issues in underwater optical imaging. Light rays traveling through water are scattered and absorbed based on their wavelength. Scattering is caused by large suspended particles that degrade optical images captured underwater. Color distortion occurs due to different wavelengths are attenuated to different degrees in water; consequently, images of ambient deep-sea environments are dominated by a bluish tone. This talk will introduce some underwater imaging models that compensates the attenuation discrepancy along to the propagation path, a corresponding robust color line-based background light estimator and a locally adaptive filtering algorithm for enhancing underwater images in deep-sea. The goal of this research is to develop high speed, high resolution, and high-quality deep-sea imaging system.
Prof. Min Chen
Huazhong University of Science and Technology
Min Chen is a professor in School of Computer Science and Technology at Huazhong University of Science and Technology (HUST) since Feb. 2012. He is Chair of IEEE Computer Society (CS) Special Technical Communities (STC) on Big Data. He was an assistant professor in School of Computer Science and Engineering at Seoul National University (SNU). He worked as a Post-Doctoral Fellow in Department of Electrical and Computer Engineering at University of British Columbia (UBC) for three years. He received Best Paper Award from QShine 2008, IEEE ICC 2012, ICST IndustrialIoT 2016, and IEEE IWCMC 2016. He serves as editor or associate editor for Information Sciences, Information Fusion, and IEEE Access, etc.
TOPIC: RoCoSense: Integrating Robotics, Smart Clothing and Big Data Clouds for Emotion Sensing
With the development of various technologies in terms of wireless networking, mobile communications, and mining and learning techniques based on large-scaled sensed data, people start to pursue higher quality of experience. The technology advances should make people healthier and happier, in addition to make our planet a good place for living. This motivates us to build a humanoid robot system which can detect human emotion for deeper communications with a certain interconnection with people in spiritual world. In order to make user’s comfortable during collecting ECG/HRV signals, smart clothing is worn by the user without any special feeling compared to a normal T-shirt. Two electrodes are deployed in both arm side while the wired cables “disappear” as part of the cloth textile. In order to achieve accurate modeling for human’s emotion, it’s inadequate for only using one type of emotional data in a single domain as typically did by the traditional methods. To overcome this issue, we propose a novel architecture named Affective Interaction through Wearable Computing and Cloud Technology (AIWAC), which considers the emotional data generated from multiple spaces: the cyber, physical, and social spaces (CPS-Spaces). The multi-dimensional emotional big data analysis is performed by big data clouds. Finally, the emotion detection intelligence is feedback to the humanoid robot for affective interaction. The goal of such system is not only to enhance the quality of life, but will also influence the way we live, work and socialize in a fashionable and elegant way, which implies our technologies are more advanced and intelligent enough to communicate with human through a certain understanding of human’s emotion and user’s intent.