公开(公告)号：US20210219858A1

公开(公告)日：2021-07-22

申请号：US16950095

申请日：2020-11-17

Applicant: KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Sang Wan Lee ,  Dongjae Kim

IPC: A61B5/04 ,  A61B5/00 ,  A61B5/0476 ,  A61B5/16 ,  G16H20/70 ,  G06N3/08 ,  G06N3/04

Abstract: Disclosed are a universal cognitive state decoder based on a brain signal and a method and apparatus for predicting an ultra-high performance complex behavior using the same. The method of predicting a complex behavior may include configuring a high-level cognitive state decoder based on a brain signal for classifying a human's high-level core cognitive state, configuring a universal cognitive state decoder by including a calculated value of the high-level cognitive state decoder in another cognitive state decoder as an input value, and predicting a human's complex behavior using the universal cognitive state decoder.

公开(公告)号：US12099333B2

公开(公告)日：2024-09-24

申请号：US17572606

申请日：2022-01-10

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Sang Wan Lee ,  Dongjae Kim

IPC: G05B13/02

CPC classification number: G05B13/0265 ,  G05B13/024 ,  G05B13/026

Abstract: Various embodiments relate to an electronic device for brain-inspired adaptive control of resolving the bias-variance tradeoff and a method thereof. The method may include estimating a prediction error baseline for an environment, based on a first prediction error of a low-variance intelligent system for the environment and a second prediction error of a low-bias intelligent system for the environment; and implementing an adaptive control system by combining the low-variance intelligent system and the low-bias intelligent system based on the estimated prediction error baseline.