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Human Systems Lab
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A lab that puts people at the center and makes use of factory data and signals from the body.
AboutAbout the lab
Toward designing systems that value people.
The Human Systems Lab studies a new design theory for systems that place humans at the center.
The lab conducts fundamental research on information analysis, modeling, and control for industrial processes and biological systems.
It applies the results in industries such as semiconductors, pharmaceuticals, steel, chemicals, and automobiles, as well as in medicine and healthcare.
The lab belongs to the Systems Science Course of the Graduate School of Informatics, and students from the Department of Engineering Physics are also assigned to it.
Key terms
- Operation data
- Data measured from machines and processes and accumulated while products are made in a factory
- Heart rate variability
- How the interval between heartbeats changes slightly over time. It reflects the state of the autonomic nervous system
- Physical model
- A phenomenon expressed as equations based on the laws of physics
ResearchResearch themes
The lab conducts fundamental research on information analysis, modeling, and control of industrial processes and biological systems, and applies the results in a variety of industrial and medical fields in order to contribute to society. Joint research with companies is a distinguishing feature.
*Illustrative imageMaking full use of factory operation data
Manufacturing industries now measure and store huge amounts of data, but only a tiny fraction of it is actually put to use. The lab makes thorough use of operation data to improve quality and yield, and to support virtual sensing (soft sensors), process control, and anomaly detection.
*Illustrative imageDetecting signs of epileptic seizures from body signals
If signs of an epileptic seizure could be detected even a few seconds in advance, the person's safety could be secured. Together with a university hospital and other universities, the lab has developed a method for detecting seizure precursors by analyzing heart rate variability, and also works on stress measurement and EEG analysis.
*Illustrative imageAI that automatically builds physical models
This is an ambitious study aiming to realize a system that automatically builds physical models, which are important in manufacturing, from information in the literature such as research papers. It is led mainly by the Assistant Professor.
MembersFaculty
Members of the Human Systems Lab are faculty, administrative assistants, and students in the doctoral program (including working professionals), the master's program, and the undergraduate program.
- ProfessorManabu Kano
- LecturerKana Eguchi
- Assistant ProfessorShota Kato
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Cromemco C-10 computer production line (1983)” Cromemco / CC BY-SA 3.0 (cropped)
- Making full use of factory operation data: “ArcelorMittal steel plant on the Cuyahoga River” Roy Luck / CC BY 2.0 (cropped)
- Detecting signs of epileptic seizures from body signals: “Eeg registration” Baburov / CC BY-SA 4.0 (cropped)
- AI that automatically builds physical models: “Artificial Intelligence relation to Generative Models subset, Venn diagram” The Original Benny C / CC BY-SA 4.0 (cropped)
- Related lab (Integrated Dynamical Systems Lab): “Линия сварки боковой стены вагона. «Тихвинский вагоностроительный завод»” AKomkova / CC BY-SA 4.0 (cropped)
- Related lab (Advanced Materials Physics Lab): “Scanning tunneling microscope-MHS 2237-IMG 3819” Rama / CC BY-SA 3.0 fr (cropped)
- Related lab (Materials Design Engineering Lab): “Stone Flower (Кам’яна квітка)” Яна Сычикова, Сергей Ковачев / CC BY-SA 4.0 (cropped)
- Related lab (Fundamental Energy Application Science Lab): “V3GaWire” Materialscientist / CC BY-SA 3.0 (cropped)
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