HUMAN MOTION DETECTION

• US 20160161339A1
• Filed: 12/05/2014
• Published: 06/09/2016
• Est. Priority Date: 12/05/2014
• Status: Abandoned Application

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Tan, Flora
• Application Number:
  US14/562,391
• Publication Number:
  US 20160161339A1
• Time in Patent Office: Days
• CPC Class Codes: G01J 2005/106 Arrays
• CPC Class Codes: G01J 5/0025 Living bodies ear thermometers G01J5/0011; detecting, measuring or recording for diagnostic purposes A61B5/00
• CPC Class Codes: G01J 5/026 Control of working procedures of a pyrometer, other than calibration; Bandwidth calculation; Gain control
• CPC Class Codes: G01J 5/0275 Control or determination of height or distance or angle information for sensors or receivers

Abstract

A system configured to collect sensor data and compare the sensor data to a first template profile comprising data indicative of an approach of a user or compare the sensor data to a second template profile comprising data indicative of a departure of a user, or a combination thereof to determine whether the sensor data indicates the approach of a user or a departure of a user.

Claims

1. A method, comprising:

receiving sensor data representative of temperature information captured in a field of view of an infrared (IR) sensor;

detecting if a temperature differential in the received sensor data exceeds a threshold value;

quantifying a similarity between the sensor data received during the detected temperature differential and one or more stored profiles; and

determining a presence or an absence of a user in the field of view of the IR sensor based on the similarity between the data received during the detected temperature differential and at least one of the stored profiles.

2. A method as claimed in claim 1, wherein the one or more stored profiles comprises a profile for a user entering the field of view of the IR sensor.

3. A method as claimed in claim 1, wherein the one or more stored profiles comprises a profile for a user exiting the field of view of the IR sensor.

4. A method as claimed in claim 1, further comprising updating at least one of the stored profiles with the data received during the detected temperature differential if said determining determines the presence or absence of the user.

5. A method as claimed in claim 1, further comprising continuously calculating a standard deviation on frames of samples in the sensor data and using a standard deviation threshold in said determining to determine a presence or absence of the user.

6. A method as claimed in claim 1, wherein said quantifying comprises normalizing a cross-correlation between the sensor data received during the detected temperature differential and the one or more stored profiles.

7. A method as claimed in claim 1, further comprising authorizing the user to access an electronic device if the sensor data received during the detected temperature differential matches one of the one or more stored profiles.

8. A device to detect a user approach or departure or a combination thereof, comprising:

a sensor to collect sensor data; and

a processor to compare the sensor data to a first template profile comprising data indicative of an approach of a user or compare the sensor data to a second template profile comprising data indicative of a departure of a user, or a combination thereof to determine whether the sensor data indicates the approach of a user or a departure of a user.

9. The device of claim 8, wherein the processor is further to:

trigger a first action if the sensor data indicates the approach of the user; and

trigger a second action if the sensor data indicates the departure of the user, or a combination thereof.

10. The device of claim 8, wherein the processor is to:

quantify a similarity between the sensor data and the first template profile to generate a first normalized cross correlation coefficient between the sensor data and the first template profile; and

quantify a similarity between the sensor data and the second template profile to generate a second normalized cross correlation coefficient between the sensor data and the second template profile.

11. The device of claim 10, wherein the processor is to compare a threshold coefficient value with the first cross correlation coefficient or the second cross correlation coefficient, or a combination thereof to identify the approach or departure of the user.

12. The device of claim 8, wherein the first template profile is a first waveform and the second template profile is a second waveform.

13. The device of claim 12, wherein the processor is further to select the first waveform or the second waveform or a combination thereof based on a context of the device.

14. The device of claim 13, wherein the context of the device corresponds to whether the device is indoors, outdoors, a desktop device, a mobile device, a laptop device, or a slate device or a combination thereof.

15. The device of claim 8, wherein the processor is to:

determine a differential between a first sample value and a second sample value of the sensor data measuring a particular metric;

compare the differential to a threshold differential value;

responsive to the differential exceeding the threshold differential value, trigger determination of an average value and a standard deviation of the average value of the particular metric for a set of samples of the sensor data;

compare the first sample value with the average and determine whether the first sample value is within a threshold standard deviation of the average value; and

responsive to the first sample value exceeding the threshold standard deviation, trigger the processor to compare the sensor data to the first template profile or the second template profile, or a combination thereof.

16. The device of claim 8, wherein the sensor comprises an infra-red (IR) image sensor, a thermal image sensor, an optical sensor, an electro-optical sensor, an ultrasonic sensor, a light sensor, a biometric sensor, a pressure sensor, a microwave sensor, an image sensor, a motion sensor or a video sensor, or a combination thereof.

17. The device of claim 8, wherein the device comprises a desktop computer, a laptop computer, a mobile communications device, a mobile computing device, a tablet, a notebook, a detachable slate device, an Ultrabook™

system, a wearable communications device, or a wearable computer, or a combination thereof.

18. A method to detect a user motion proximate a device, comprising:

receiving, by a processor, sensor data corresponding to an area proximate the device;

determining, by the processor, whether a differential value of a first point and a second point in the sensor data exceeds a threshold differential;

if the differential value exceeds the threshold differential then determining, by the processor, whether the first point is outside of a norm for the sensor data;

if the first point is determined to be outside of the norm then triggering, by the processor, execution of a user motion analysis; and

determining, by the processor, a user intent to engage or disengage the device based on the user motion analysis.

19. The method of claim 18, wherein the user motion analysis comprises comparing, by the processor, the sensor data to one or more template profiles associated with a particular user motion to identify a user motion indicative of a user intent to engage or disengage the device.

20. The method of claim 19, further comprising:

quantifying, by the processor, a match strength between the sensor data and the one or more template profiles; and

comparing, by the processor, the match strength to a threshold match strength;

identifying, by the processor, a successful match to a template profile based on the comparing;

determining, by the processor, a particular user motion represented by the sensor data based on the identifying the successful match; and

inferring, by the processor, the user intent to engage or disengage the device based on the particular user motion represented by the sensor data.

21. The method of claim 18, further comprising:

triggering, by the processor, a first action based on inferring a user intent to engage the device, wherein the first action is an authentication process, password process, a wake-up process or a facial recognition process, or a combination thereof;

or

triggering, by the processor, a second action based on inferring a user intent to disengage the device, wherein the second action is a shutdown process, an energy saving mode, a secure mode, an upload of data, or an alarm or a combination thereof.

22. The method of claim 20, wherein the device comprises a desktop computer, a mobile communications device, a mobile computing device, a tablet, a notebook, a detachable slate device, an Ultrabook™

system, a wearable communications device, or a wearable computer, or a combination thereof.