INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING SYSTEM, BRAIN ACTIVITY PREDICTION METHOD, AND PROGRAM

• Main Authors: MAEDA NAOYA, TAKAYAMA FUMIHIRO, NISHIDA TOMOSHI, SUMI SHIYOUKO, ARAKUMA RYOICHI, AIMOTO YOSHIFUMI
• Format: Patent
• Language: English; Japanese
• Published: 13.01.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

To accurately predict brain activities responding to a content being an evaluation object, without bioinstrumentation.SOLUTION: An information processing apparatus comprises: a first generation unit which generates first relationship information in human information for users in an existing user group on the basis of the human information; a second generation unit which generates second relationship information in brain activity information measured with respect to the users in the existing user group, on the basis of the brain activity information; a learning processing unit which generates a distance estimation model on the basis of the first relationship information and the second relationship information by machine learning; a third generation unit which estimates second distance information between a new user and the users in the existing user group from a first distance information between the new user and users in a first group on the basis of the distance estimation model and generates a brain information model corresponding to the new user on the basis of the estimated second distance information and a preliminarily generated brain information model; and a prediction processing unit which predicts brain activity information on the basis of the generated brain information model.SELECTED DRAWING: Figure 1 【課題】生体計測を伴わずに評価対象のコンテンツに対する脳活動を精度よく予測する。【解決手段】情報処理装置は、既存ユーザ群のユーザに対する人間情報に基づいて、人間情報における第１関係性情報を生成する第１生成部と、既存ユーザ群のユーザに対して計測された脳活動情報に基づいて、脳活動情報における第２関係性情報を生成する第２生成部と、第１関係性情報と、第２関係性情報とに基づいて、機械学習によって、距離推定モデルを生成する学習処理部と、距離推定モデルに基づいて、新規ユーザと第１の集団のユーザとの間の第１距離情報から、新規ユーザと既存ユーザ群のユーザとの間の第２距離情報を推定し、推定した第２距離情報と、予め生成された脳情報モデルとに基づいて、新規ユーザに対応する脳情報モデルを生成する第３生成部と、生成した脳情報モデルに基づいて、脳活動情報を予測する予測処理部とを備える。【選択図】図１