System and method for care support at home
First Claim
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1. A system for fall prediction, comprising:
- one or more sensors configured to obtain at least gait information of a person;
one or more processors coupled to the one or more sensors and configured to;
receive the gait information of the person;
obtain gait dynamic features based at least in part on the obtained gait information;
apply the obtained gait dynamic features to a learning model to predict at least a fall movement of the person, includingobtaining a humidity condition of an environment of the person;
obtaining a health condition of the person; and
applying the obtained gait dynamic features, the obtained health condition, and the obtained humidity condition to the learning model to predict at least the fall movement of the person; and
change a humidity control setting of an air-conditioner in the environment of the person to mitigate the predicted fall movement.
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Abstract
Systems and methods are provided for fall prediction. Such system may comprise one or more sensors configured to obtain at least gait information of a person, and one or more processors coupled to the one or more sensors. The one or more processors may be configured to receive the gait information of the person, obtain gait dynamic features based at least in part on the obtained gait information, and apply the obtained gait dynamic features to a learning model to predict at least a fall movement of the person.
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Citations
20 Claims
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1. A system for fall prediction, comprising:
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one or more sensors configured to obtain at least gait information of a person; one or more processors coupled to the one or more sensors and configured to; receive the gait information of the person; obtain gait dynamic features based at least in part on the obtained gait information; apply the obtained gait dynamic features to a learning model to predict at least a fall movement of the person, including obtaining a humidity condition of an environment of the person; obtaining a health condition of the person; and applying the obtained gait dynamic features, the obtained health condition, and the obtained humidity condition to the learning model to predict at least the fall movement of the person; and change a humidity control setting of an air-conditioner in the environment of the person to mitigate the predicted fall movement. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for fall prediction, comprising:
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obtaining at least gait information of a person; obtaining gait dynamic features based at least in part on the gait information; and applying the obtained gait dynamic features to a learning model to predict at least a fall movement of the person, including obtaining a humidity condition of an environment of the person; obtaining a health condition of the person; and applying the obtained gait dynamic features, the obtained health condition, and the obtained humidity condition to the learning model to predict at least the fall movement of the person; and changing a humidity control setting of an air-conditioner in the environment of the person to mitigate the predicted fall movement. - View Dependent Claims (12, 13, 14, 15)
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16. A non-transitory computer-readable medium for fall prediction, comprising instructions stored therein, wherein the instructions, when executed by one or more processors, perform the steps of:
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obtaining at least gait information of a person; obtaining gait dynamic features based at least in part on the gait information; and applying the obtained gait dynamic features to a learning model to predict at least a fall movement of the person, including obtaining a humidity condition of an environment of the person; obtaining a health condition of the person; and applying the obtained gait dynamic features, the obtained health condition, and the obtained humidity condition to the learning model to predict at least the fall movement of the person; and change a humidity control setting of an air-conditioner in the environment of the person to mitigate the predicted fall movement. - View Dependent Claims (17, 18, 19, 20)
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Specification