To improve accuracy of state estimation of a substance by forming an AI model obtained by reducing an influence of the individual difference and the environmental difference of the time series length of appearance information relating to a movement of the substance.SOLUTION: An emotion estimation device is configured to input, to an AI model for estimating an emotion of a subject based on an input of time series appearance information relating to the movement of the subject, the time series appearance information of an estimation target subject and estimate the emotion of the estimation target subject. The emotion estimation device acquires the time series appearance information relating to the movement of the estimation target subject and makes the time series length of the time series appearance information to be input to the AI model be a characteristic time series length individually set to the estimation target subject.SELECTED DRAWING: Figure 15
【課題】物体の動きに係る外観情報の時系列長の個体差、環境差の影響を低減させたAIモデルを形成でき、物体の状態推定の精度向上を図る。【解決手段】感情推定装置は、被験者の動きに係る時系列外観情報の入力に基づき前記被験者の感情を推定するAIモデルに、推定対象被験者の前記時系列外観情報を入力して前記推定対象被験者の感情を推定する感情推定装置であって、前記推定対象被験者の動きに係る前記時系列外観情報を取得し、前記AIモデルに入力する前記時系列外観情報の時系列長を、前記推定対象被験者に対して個別に設定された固有時系列長とする。【選択図】図15
EMOTION ESTIMATION DEVICE, TIME SERIES APPEARANCE INFORMATION GENERATION METHOD, TIME SERIES LENGTH DETERMINATION METHOD, ON-VEHICLE SYSTEM, COMPUTER PROGRAM, BIOLOGICAL STATE ESTIMATION DEVICE, AND SUBSTANCE STATE ESTIMATION DEVICE
感情推定装置、時系列外観情報生成方法、時系列長決定方法、車載システム、コンピュータプログラム、生体状態推定装置、及び物体状態推定装置
2024-12-26
Patent
Electronic Resource
Japanese
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