Embedded sensor model
AssigneeIntel Corporation
InventorsLuis Sergio Kida, Christopher Boyd Rogers
Life of this patent
Estimating the term…
Abstract
System and techniques for an embedded sensor model are described herein. A message that includes a model identifier field, a performance label, a sensor set, and a first user identification field containing a user identification is obtained. A set of feedback packages is obtained. A feedback package includes a value and indicates the user identification. Feedback package values are aggregated to create a weight for the user identification. A training set is applied to a model to create a new model. This includes modifying model training with respect to the sensor set based on the performance label and the weight. The new model may then be transmitted to a user device. The new model providing a sensor classifier for a sensor monitoring user activity.
Claims24
A system for updating an embedded model, the system comprising:
- a multiplexer to:
- obtain a message that includes a model identifier field, a performance label, a sensor set, and a first user identification field containing a user identification;
- and
- obtain a set of feedback packages, a member of the set of feedback packages including a value and a second user identification field containing the user identification;
- a calculator to aggregate values from members of the set of feedback packages to create a weight for the user identification;
- a trainer to apply a training set to a model to create a new model, the applying including modifying model training with respect to the sensor set based on the performance label and the weight;
- and
- a transceiver to transmit the new model to a user device, the new model providing a sensor classifier for a sensor monitoring user activity.
A method for updating an embedded model, the method comprising:
- obtaining a message that includes a model identifier field, a performance label, a sensor set, and a first user identification field containing a user identification;
- obtaining a set of feedback packages, a member of the set of feedback packages including a value and a second user identification field containing the user identification;
- aggregating values from members of the set of feedback packages to create a weight for the user identification;
- applying a training set to a model to create a new model, the applying including modifying model training with respect to the sensor set based on the performance label and the weight;
- and
- transmitting the new model to a user device, the new model providing a sensor classifier for a sensor monitoring user activity.
At least one machine readable medium including instructions for updating an embedded model, the instructions, when executed by a machine, cause the machine to:
- obtain a message that includes a model identifier field, a performance label, a sensor set, and a first user identification field containing a user identification;
- and
- obtain a set of feedback packages, a member of the set of feedback packages including a value and a second user identification field containing the user identification;
- aggregate values from members of the set of feedback packages to create a weight for the user identification;
- apply a training set to a model to create a new model, the applying including modifying model training with respect to the sensor set based on the performance label and the weight;
- and
- transmit the new model to a user device, the new model providing a sensor classifier for a sensor monitoring user activity.
Dependencies are inferred from the claim text.