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Itakura Lab
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The lab explores the connection between humans and systems through biological information.
AboutAbout the lab
Understanding humans through modeling
The Itakura-Mizuno Lab is jointly run by the Itakura Lab and the Mizuno Lab, and studies humans and systems from an engineering perspective using biological information.
Its goal is to achieve smooth communication between humans and systems.
The lab works on input interfaces operated by gaze or brain waves, virtual reality, analysis of the electrical signals of muscles, and more.
As research on road traffic simulators, it also covers the evaluation of car-driving models and the human interface of road traffic management systems.
Key terms
- Interface
- A mechanism for exchanging information between humans and a system
- Surface electromyography
- A recording, made from the surface of the skin, of the electrical activity produced when muscles contract
- Motor unit
- A group consisting of one motor neuron and the muscle fibers it controls; the functional unit of muscle contraction
ResearchResearch themes
With the goal of achieving smooth communication between humans and systems, the lab conducts engineering research using information obtained from psychological, physiological, and behavioral measures. Its work includes developing input interfaces, evaluating biological information and exploring new analysis methods, and realizing efficient virtual reality.
*Illustrative imageGaze input operated by looking at the corners of the screen
The lab studies gaze input in which briefly looking at one of the four corners of the screen counts as an input. Because the system only needs to know the direction of the eye movement, inputs are easy to distinguish. Currently, eye movement is measured from webcam images.
*Illustrative imageAn input interface selected by brain waves
The lab is developing an interface that estimates the selected item from the evoked EEG recorded when a person views visual stimuli. By revising the flickering stimuli and the analysis method, it has shortened identification to 2 to 3 seconds, and it aims to increase the number of choices and make the device smaller.
*Illustrative imageElectromyogram analysis to interpret muscle activity
To clarify how the motor units involved in muscle contraction function, the lab studies algorithms that objectively identify propagating waves from multi-channel surface electromyograms. It aims to elucidate the underlying mechanisms and apply them to areas such as rehabilitation.
MembersFaculty
The members of the Itakura-Mizuno Lab are professors, associate professors, and doctoral, master's, and undergraduate students.As of 2023
- ProfessorNaoaki Itakura
- Associate ProfessorTota Mizuno
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: “AFRL-developed physiological monitoring system undergoes flight tests (8340359)” U.S. Air Force AFRL by [null Courtesy] / Public domain (cropped)
- Gaze input operated by looking at the corners of the screen: “Sony-PlayStation-3-Eye” Evan-Amos / Public domain (cropped)
- An input interface selected by brain waves: “BCI sensor mounting types — invasive (IM), semi-invasive (ECoG), and non-invasive (MEG, EEG, fNIRS)” Peksa Janis and Dmytro Mamchur / CC BY 4.0 (cropped)
- Electromyogram analysis to interpret muscle activity: “EMG muscle deltmed - milling” StruskaM / CC BY-SA 4.0 (cropped)
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