Systems and Methods for Adaptive Smart Environment Automation

• US 20150057808A1
• Filed: 09/29/2014
• Published: 02/26/2015
• Est. Priority Date: 09/11/2008
• Status: Abandoned Application

• Current Assignee: Washington State University
• Original Assignee: Washington State University
• Inventors: Cook, Diane J., Rashidi, Parisa
• Application Number:
  US14/500,680
• Publication Number:
  US 20150057808A1
• Time in Patent Office: Days
• US Class Current: 700/275
• CPC Class Codes: G05B 13/04 involving the use of models or simulators
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 2219/2642 Domotique, domestic, home control, automation, smart house
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06Q 50/08 Construction
• CPC Class Codes: G06Q 50/12 Hotels or restaurants
• CPC Class Codes: H04L 12/2803 Home automation networks

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.

Claims

1. A system, comprising:

a plurality of sensors installed in a space, the sensors being configured to provide first input data;

a control element installed in the space; and

a controller operatively coupled to the sensors and the control element, the controller being programmed to;

recognize an activity of a resident based at least in part on the first input data; and

automate an operation of the control element based at least in part on the recognized activity;

a server operatively coupled to the controller, the server being programmed to;

store data associated with the recognized activity.

2. A system as recited in claim 1, wherein the plurality of sensors include one or more of:

a temperature sensor;

a water flow sensor;

a vibration sensor;

a shake sensor;

an accelerometer;

or

a magnetic door closure sensor;

3. A system as recited in claim 1, wherein the server is further programmed to receive the first input data from the one or more sensors via the controller.

4. A system as recited in claim 3, wherein the server is further programmed to:

receive second input data from a second plurality of sensors in a second space via a second controller; and

recognize an activity of the resident based at least in part on the first input data and the second input data.

5. A system as recited in claim 1, further comprising a smart phone programmed to collect second input data and provide the second input data to at least one of the controller or server.

6. A system as recited in claim 1, wherein a plurality of software applications subscribe via a middleware module to information received from one or more sensor devices.

7. A system as recited in claim 1, wherein the controller includes a positional model configured to determine the location of sensors without intervention by the user of the system.

8. A system as recited in claim 1, wherein the controller includes user-selectable fields to input sensor location.

9. The controller as described in claim 8, wherein the user-selectable fields are presented via a secondary computing device able to communicate with the system.

10. The system as recited in claim 1 wherein the user data collected by the system can be uploaded to an aggregate storage space of multiple user data sets.

11. A middleware controller designed to provide communication between the system as recited in claim 1 and sensors, such a middleware-controller comprising at least one of:

a ZigBee Agent;

a synchronization client;

a database loader;

or

a storage database.

12. A method comprising:

receiving, by one or more processors of an electronic device, registration requests to join a smart environment from one or more sensor devices;

registering, by middleware, at least one of the sensor devices as a publisher of sensor information;

receiving the sensor information from at least one of the sensor devices;

analyzing the sensor information to determine periodic activity sequences;

generating a first model of activities based at least in part on the periodic activity sequences; and

generating first automation data identifying activities to automate based at least in part on the first model.

13. A method as recited in claim 12, further comprising:

receiving registration requests to join a smart environment from one or more controller devices;

registering, by the middleware, at least one of the controller devices as a subscriber to the first automation data; and

sending the first automation data to at least one of the controller devices.

14. A method as recited in claim 12, further comprising:

sending at least one of the sensor information, the first model of activities, and the first automation data to a server;

receiving second automation data from the server; and

sending the second automation data to at least one of the subscribers of the first automation data.

15. A method as recited in claim 12, further comprising:

sending a message to a portable device indicating the occurrence of an activity and an identifier associated with the activity;

receiving a request for a feature vector associated with the activity from the portable device; and

sending a feature vector associated with the activity to the portable device.

16. A method as recited in claim 15, further comprising:

receiving a message from the portable device indicating the occurrence of the activity; and

adding the activity to the first model of activities.

17. One or more non-transitory computer-readable storage media storing instructions that when executed by one or more processors, cause the one or more processors to perform operations comprising:

admitting a sensor device to a local network within a home;

receiving a request to join a smart environment from the sensor via the local network, wherein the request includes an identifier and a location of the sensor within the home;

storing the identifier and location of the sensor to a registry; and

storing one or more subscriptions to sensor data collected by the sensor in the registry.

18. One or more non-transitory computer-readable storage media as recited in claim 17, the operations further comprising:

admitting a control element device to a local network within a home;

receiving a request to join the smart environment from the control element device via the local network, wherein the request includes an identifier and a location of the control element device within the home; and

storing the identifier and location of the control element device within the home to the registry.

19. One or more non-transitory computer-readable storage media as recited in claim 17, the operations further comprising:

generating a model of activities based at least in part on the sensor data;

generating automation data identifying one or more activities to automate based at least in part on the model; and

determining that the control device element is associated with the automation data, based at least in part on one of the location of the control element device and the location of sensor device; and

sending a message to the control element to automate at least one of the one or more activities.

20. One or more non-transitory computer-readable storage media as recited in claim 19, wherein the sensor and control element include Zigbee devices, and the local network includes a Zigbee mesh network.