Laboratory Introduction (Department of Integrated information technology)
For graduation research, students select a topic from each faculty member's area of expertise that will be useful in the future. For example, main themes include natural language processing, data mining, image recognition, and education systems in the software technology field, autonomous mobile robots, conversational robots, and nursing support systems in the mechatronics technology field, wearable devices and virtual reality systems in the human factors technology field, and web applications and the Internet of Things (IoT) in the network technology field.
LABORATORY LIST Research themes and contents
RESEARCH THEMES Examples of student research topics
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Automatic stack expansion in the Ruby Virtual Machine
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Improved and more efficient Unicode property handling in Ruby
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Concentration estimation and activity maintenance support system using wearable devices
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A system that helps improve sports skills using only wearable devices
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Health and comfort support systems based on human information
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Establishment of intelligent workspace support technology through spatial transformation
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Development of new displays that stimulate various senses
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Establishment of technology to recognize unconscious human states using IoT sensors
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Improving the accuracy of continuous learning in neural networks
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Financial market prediction using text information
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Improving the explanation performance of recommendation systems using knowledge graphs
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Simulation for CG to express food textures such as viscosity and stickiness
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CG technology that mimics human artistic visual depictions
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CG technology for generating realistic images of natural and man-made objects
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Understanding the meaning and shape of the 3D world from images and creating 3D models
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Understanding human postures and movements, and reproducing the movements of virtual humans
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Improving communication quality by predicting communication behavior
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Research on revitalizing online communication
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Avatar communication that conveys emotions
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Automatic knowledge graph construction from natural language text
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Domestic Action Planning Based on Object States and Relations Using Large-Scale Language Models
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Inference of User's Latent Requests and Conversational Navigation Based on Large-Scale Language Models
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Development of intelligent navigation systems for mobile and flying robots