- Information Technology and Human Factors
- Human Informatics Research Institute
- R&D Groups
Mathematical Neuroinformatics Group Leader : Shotaro Akaho, Ph.D.
Neural networks in the brain can perform complex information processing tasks such as pattern recognition and learning more flexibly than existent technologies. This group aims at mathematical studies of the principles underlying information processing in the brain through elucidating how information is represented, what types of learning and adaptation algorithms are used, and why neuronal architecture is useful for information processing.
Digital Human Research Group Leader : Mitsunori Tada, Ph.D.
We aim to change human behavior for better life by providing appropriate intervention; sensory stimulation for immediate behavior change and thoroughly-designed products/services use for gradual change of life. Research topics include modeling methods based on small but accurate measurements, a large scale data collection methods utilizing the deep and accurate database, and effective intervention methods to users based on the partial/rough measurement and database.
Physical Fitness Technology Group Leader : Hiroshi Endou, Ph.D.
We are studying various types of quality-of-life technologies based on human physiology, psychophysics, neuroscience, and biomedical engineering to support the daily life and rehabilitation of people with disabilities and elderly people. Research areas include assistive eating and mobility technologies for elderly and blind people, respectively, prevention of disuse syndrome and diabetes, neuro-rehabilitation techniques and surgical skills training, augmented reality for care food, and sensing and actuation devices.
Human Environment Interaction Research Group Leader : Tatsu Kobayakawa, Ph.D.
Ultimate goal of our group is bringing smile to individuals and communities in daily life. Our mission is to visualize human performance of various kinds of activities in daily life such as walking, sleeping, and perception and sensation of information from ears, eyes, skins and whole body. Our group is also challenging to develop local healthy community and healthcare environment with IoT (Internet of Things) technologies.
Sensory and Perceptual Information Design Research Group Leader : Nana Itoh, Ph.D.
Various information given through products and environments are processed through multiple human senses, and are selectively perceived for thinking and action. We aim first to conduct basic researches on human-centered design technology that is adapted to human sensory and perceptual systems. Then, we further aim to practice ergonomics considering the needs of older persons and persons with disabilities and to establish audio-visual environments that are both convenient and considered to well reduce undesirable biomedical effects.
Brain Function Measurement Research Group Leader : Yukari Tanikawa, Ph. D.
We develop techniques to measure human physical, neurological and physiological phenomena that cannot be measured by conventional methods. Specifically, we employ magnetic resonance imaging (MRI), near infrared spectroscopy (NIRS), and complementary electrophysiological and biochemical methods to (1) establish accurate fNIRS in living environments, and (2) enable the discovery of new physical, neurological and physiological phenomena.
Neurotechnology Research Group Leader : Ryohei P. Hasegawa, Ph.D.
We research and develop new technologies to improve QOL of patients, using knowledge in neuroscience. Our current projects are as follows; 1) EEG-based BMI for communication aid (Neurocommunicator), 2) therapeutic animal robot (Paro), 3) display system for visually impaired person, 4) artificial intelligence to simulate brain functions, 5) affective communication, 6) real-time neuromarketing, and so on. We welcome collaboration with companies, researchers and physicians!
Systems Neuroscience Group Leader : Ichiro Takashima, Ph.D.
We study the neural information processing underlying human cognition and behavior in physiological, molecular biological and anatomical aspects using animal models. We focus on neural mechanisms underlying perceptual confidence, visual perception, recognition of social stimuli including faces, integration and segregation of information, working memory, motor control and learning in eye movement, and functional recovery after brain injury. We are also developing new systems for neurorehabilitation and for measuring eye position.