EFFICIENCY ESTIMATION DEVICE

To provide an efficiency estimation device capable of estimating the learning efficiency or work efficiency of an object person in a manner that the more concentrated the state, the higher the productivity is, which was conventionally difficult to estimate based on data of the line of sight only.SOL...

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Bibliographische Detailangaben
Hauptverfasser:	SHINOHARA KAZUMITSU, KIMURA TSUKASA, KOBORI HIROKAZU, NAKAJIMA YUTA, NUMAO MASAYUKI, IKEMOTO NORIKO, NAGAHARA HAJIME
Format:	Patent
Sprache:	eng ; jpn
Schlagworte:	ADVERTISING APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND,DEAF OR MUTE CALCULATING COMPUTING COUNTING CRYPTOGRAPHY DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES DIAGNOSIS DIAGRAMS DISPLAY EDUCATION EDUCATIONAL OR DEMONSTRATION APPLIANCES GLOBES HUMAN NECESSITIES HYGIENE IDENTIFICATION INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEDICAL OR VETERINARY SCIENCE PHYSICS PLANETARIA SEALS SURGERY SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	To provide an efficiency estimation device capable of estimating the learning efficiency or work efficiency of an object person in a manner that the more concentrated the state, the higher the productivity is, which was conventionally difficult to estimate based on data of the line of sight only.SOLUTION: An efficiency estimation device 100 for estimating the efficiency of an object person 10, includes a biometric information acquisition unit 20, and an estimation unit 30. The biometric information acquisition unit 20 acquires biometric information of the object person 10. The estimation unit 30 has a trained model 40 and estimates the efficiency of the object person 10 from the biometric information using the trained model 40. The trained model 40 is trained based on a teacher dataset including the biometric information and the efficiency of the object person 10.SELECTED DRAWING: Figure 1 【課題】対象者の学習効率又は作業効率を推定する場合、生産性が高くなるような集中状態ほど集中度が高い状態であるとして評価されることが求められているが、視線に起因するデータのみで生産性が高くなるような集中状態であるかを評価するのが難しい。【解決手段】対象者１０の効率を推定する効率推定装置１００であって、生体情報取得部２０と、推定部３０と、を備える。生体情報取得部２０は、対象者１０の生体情報を取得する。推定部３０は、学習済モデル４０を有し、学習済モデル４０を用いて生体情報から対象者１０の効率を推定する。学習済モデル４０は、生体情報および対象者１０の効率を含む教師データセットによって学習されたものである。【選択図】図１