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US 2022/0087540 A1Published application
Systems and methods for remote vital sign monitoring in a vehicle
AssigneeToyota Motor Engineering & Manufacturing North America, Inc.
InventorsFrederico Marcolino Quintao Severgnini, Ercan M. Dede
Life of this patent
Estimating the term…
Abstract
Apparatuses and methods for monitoring vital signs. Movement data for a selected body location of a person in a vehicle is generated using a movement sensor positioned remotely with respect to the person. Input data is formed for a machine learning system using the movement data. The input data is processed using the machine learning system to remove noise from the input data and generate a target output that identifies a vital sign of the person.
Claims20
A system comprising:
- a movement sensor positioned in a vehicle remotely with respect to a person in the vehicle for generating movement data for a selected body location of the person;
- and
- a vital sign manager that forms input data for a machine learning system using the movement data and processes the input data using the machine learning system to remove noise from the input data and generate a target output that identifies a vital sign of the person.
A method comprising:
- generating movement data for a selected body location of a person in a vehicle using a movement sensor that is positioned in the vehicle remotely with respect to the person;
- forming input data for a machine learning system using the movement data;
- and
- processing the input data using the machine learning system to remove noise from the input data and generate a target output that identifies a vital sign of the person.
1 more element
A method comprising:
- receiving training data collected for a set of training scenarios, the training data including measured vital sign data and sensor training data, wherein the sensor training data includes surface displacement data that is generated remotely with respect to at least one person;
- forming input data for a neural network system using the sensor training data;
- and
- training the neural network system using the input data to remove noise and generate a target output that corresponds with the measured vital sign data.
1 more element
Dependencies are inferred from the claim text.