Smart pet monitoring
OwnerWilliam Adamsinventor
Life of this patent
Estimating the term…
Abstract
A wearable device for monitoring an animal is disclosed. The device includes a wearable article that supports an electronics module having one or more sensors and one or more processors. The sensors collect health data from the animal. The processors analyze the collected data to determine a health-related status, such as a physiological condition, behavior, or activity level. The resulting information can be sent to an external device or provided through outputs on the wearable device.
Claims22
A wearable device for smart monitoring of an animal, the wearable device comprising:
- an electronics module comprising one or more sensors connected to one or more processors;
- and
- a wearable article, wherein the wearable article is configured to at least partially incorporate the electronics module;
- wherein the one or more sensors are configured to gather one or more health metrics from the animal and wherein the electronics module comprises a non-transitory storage medium storing instructions that are configured to be executable by the one or more processors to cause the one or more processors to:
- receive the one or more health metrics;
- analyze the one or more health metrics to produce a health-related output indicative of at least one of a physiological condition, behavioral state, or activity of the animal;
- and
- cause the health-related output to be communicated to an external computing device and/or presented via one or more outputs of the wearable device.
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A system for smart monitoring and training of an animal, the system comprising:
- a wearable device configured to be worn by the animal, the wearable device comprising one or more sensors and one or more first processors;
- an external computing device communicatively coupled to the wearable device and comprising one or more second processors;
- a treat dispenser communicatively coupled to the wearable device and/or the external computing device;
- and
- one or more non-transitory computer-readable media storing instructions that, when executed by the one or more first processors and/or the one or more second processors, cause the system to:
- deliver a command to the animal;
- receive from the one or more sensors one or more health metrics associated with the animal;
- determine, based on the one or more health metrics, whether the animal performed a behavior corresponding to the command;
- and
- activate the treat dispenser to dispense a treat to the animal when the system determines that the animal performed the behavior corresponding to the command.
A method for training a machine-learning model to classify animal behavior, the method comprising:
- collecting multi-point sensor data from multiple sensors of a wearable device positioned at different anatomical regions of an animal;
- generating a timecode signal using the wearable device worn by the animal;
- recording video of the animal using a camera which is configured to receive the timecode signal such that each video frame corresponds to a synchronized data segment interval;
- analyzing the video to identify one or more activities of the animal;
- automatically labeling one or more corresponding synchronized sensor-data intervals with at least one corresponding activity to produce one or more labeled data segments;
- and
- training the machine-learning model using at least some of the one or more labeled data segments.
Dependencies are inferred from the claim text.