SYSTEMS AND METHODS FOR ADAPTIVE SMART ENVIRONMENT AUTOMATION
First Claim
1. A computer implemented method, comprising:
- collecting input data from a plurality of sensors in a space with a processor, the input data including a plurality of data points corresponding to the individual sensors;
analyzing the input data received from the plurality of sensors with the processor to determine a sequence pattern of data points from the input data, the sequence pattern of data points being at least partially discontinuous; and
controlling a control element in the space based on the determined sequence pattern of data points.
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Abstract
Several embodiments of systems and methods for adaptive smart environment automation are described herein. In one embodiment, a computer implemented method includes determining a plurality of sequence patterns of data points in a set of input data corresponding to a plurality of sensors in a space. The input data include a plurality of data points corresponding to each of the sensors, and the sequence patterns are at least partially discontinuous. The method also includes generating a plurality of statistical models based on the plurality of sequence patterns, and the individual statistical models corresponding to an activity of a user. The method further includes recognizing the activity of the user based on the statistical models and additional input data from the sensors.
32 Citations
21 Claims
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1. A computer implemented method, comprising:
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collecting input data from a plurality of sensors in a space with a processor, the input data including a plurality of data points corresponding to the individual sensors; analyzing the input data received from the plurality of sensors with the processor to determine a sequence pattern of data points from the input data, the sequence pattern of data points being at least partially discontinuous; and controlling a control element in the space based on the determined sequence pattern of data points. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computer implemented method, comprising:
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determining a plurality of sequence patterns of data points in a set of input data corresponding to a plurality of sensors in a space, the input data including a plurality of data points corresponding to each of the sensors, wherein the sequence patterns being at least partially discontinuous; generating a plurality of statistical models based on the plurality of sequence patterns, the individual statistical models corresponding to an activity of a user; and recognizing the activity of the user based on the statistical models and additional input data from the sensors. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18)
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19. A computer system, comprising:
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a plurality of sensors installed in a space, the sensors being configured to provide input data including a plurality of data points corresponding to each of the sensors; a controller operatively coupled to the sensors, the controller including; an activity miner configured to analyze the input data from the plurality of sensors to determine a plurality of sequence patterns of data points, the sequence patterns being at least partially discontinuous; and an activity model configured to generate a plurality of statistical models based on the plurality of sequence patterns, the individual statistical models corresponding to an activity of a user. - View Dependent Claims (20, 21)
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Specification