R&D Project
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Goal 1 R&D Projects (Selected in 2020)Liberation from Biological Limitations via Physical, Cognitive and Perceptual AugmentationJPMJMS2012
Project manager (PM)KANAI RyotaDirector, Corporate Planning & Innovation Co-Creation Unit, Advanced Telecommunications Research Institute International (ATR)
Summary of the project
If a person’s intentions can be estimated, the ultimate CA (cybernetic avatar)*1, operable as desired, becomes possible. Estimation draws not only on internal brain activity but also on brain-surface and interaction information. Integrating these with AI, we are developing a CA with brain-machine interface (BMI) functions (BMI-CA), with ethical issues taken into account. By 2050, we will realize the ultimate BMI-CA operable as a person wishes.
Milestone by year 2030
[Realization of a remote mutual assistance society where people can overcome their disabilities and participate in social activities]
People with physical and brain limitations can independently expand their own physical, cognitive, and perceptual abilities using AI-assisted BMI-CA*2 that decodes the words and actions in their minds with high accuracy. By collaborating with the experience-sharing CAs of others by mutual agreement, they can extend these abilities further and take part in new cultural, artistic, sporting, and educational activities
*1 Avatars—like teleoperated robots or cyberspace characters—share sensory perceptions with humans and engage in social activities. Here they function as semi-autonomous agents that, combined with AI, extend human physical, cognitive, and perceptual capabilities.
*2 AI-assisted BMI-CA: a CA that, via AI machine learning, deciphers the words and actions in a user’s head with high precision according to combinations of different BMI types. It uses non-contact BMI to estimate behavior from environmental sensors, non-invasive BMI to decode words and behavior from scalp EEG, and invasive BMI to decode from brain information near the dura mater during surgery
R&D Item progress reports
Performers
| R&D Item [1] | USHIBA Junichi | Keio University |
|---|---|---|
| R&D Item [1] | FURUYA Shinichi | Sony Computer Science Laboratories, Inc. |
| R&D Item [2] | OIZUMI Masafumi | The University of Tokyo |
| R&D Item [2] | REKIMOTO Junichi | Sony Computer Science Laboratories, Inc. |
| R&D Item [3] | YANAGISAWA Takufumi | The University of Osaka |
| R&D Item [3] | Edward F. Chang | University of California, San Francisco |
| R&D Item [4] | AKUTSU Kan | Araya, Inc. |
| R&D Item [4] | KANAI Ryota | Araya, Inc. |
| R&D Item [4] | TAKEMI Mitsuaki | Hiroshima University |
| R&D Item [4] | KOMAMURA Keigo | Keio University |
| R&D Item [3] | WAKE Hiroaki | National Institute for Physiological Sciences |
| R&D Item [5] | SEKITANI Tsuyoshi | The University of Osaka |
| R&D Item [5] | NAKAMURA Hajime | The University of Osaka |
| R&D Item [5] | UEMURA Takafumi | The University of Osaka |
| R&D Item [5] | David Grayden | The University of Melbourne |
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- Summary of the project (246 KB)
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