State extrapolation device, state extrapolation program, and state extrapolation method
AssigneeClarion Co., Ltd.
InventorTomohiro NAKAMURA
Life of this patent
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Abstract
An object of the present invention is to more appropriately extrapolate a sign of a state that may affect a movement of a user. A state extrapolation device according to the present invention includes a vital sign acquisition unit that acquires a vital sign of a user, and a sign detection unit that uses a learned model that has learned, as training data, sign data about the vital sign related to a predetermined physical condition abnormality, and detects a sign by determining whether or not the vital sign of the user corresponds to a sign of the predetermined physical condition abnormality.
Claims21
A state extrapolation device comprising:
- a vital sign acquisition unit that acquires a vital sign of a user;
- and
- a sign detection unit that uses a learned model that has learned, as training data, sign data about the vital sign related to a predetermined physical condition abnormality, and detects a sign by determining whether or not the vital sign of the user corresponds to a sign of the predetermined physical condition abnormality.
A program causing a computer to execute a state extrapolation procedure, the program causing the computer to function as a control means, and
- causing the control means to perform:
- a vital sign acquisition step of acquiring a vital sign of a user;
- and
- a sign detection step of using a learned model that has learned, as training data, sign data about the vital sign related to a predetermined physical condition abnormality, and detecting a sign by determining whether or not the vital sign of the user corresponds to a sign of the predetermined physical condition abnormality.
A state extrapolation method causing a computer to execute a state extrapolation procedure, the computer including a control means, the state extrapolation method comprising:
- by the control means,
- a vital sign acquisition step of acquiring a vital sign of a user;
- and
- a sign detection step of using a learned model that has learned, as training data, sign data about the vital sign related to a predetermined physical condition abnormality, and detecting a sign by determining whether or not the vital sign of the user corresponds to a sign of the predetermined physical condition abnormality.
Dependencies are inferred from the claim text.