Sensor control switch

• US 9,578,493 B1
• Filed: 05/03/2016
• Issued: 02/21/2017
• Est. Priority Date: 08/06/2015
• Status: Active Grant

• Current Assignee: Lumini Corporation
• Original Assignee: Adtile Technologies Inc.
• Inventors: Metti, Maximilian, Scandaliato, Angelo, Forsblom, Nils
• Primary Examiner(s): Lee, Paul D
• Application Number:
  US15/145,722
• Publication Number:
  US 20170041780A1
• Time in Patent Office: 294 Days
• Field of Search: 702/189
• US Class Current: 1/1
• CPC Class Codes: A63F 13/211 using inertial sensors, e.g. accelerometers or gyroscopes
• CPC Class Codes: G01C 21/20 Instruments for performing navigational calculations G01C21/24, G01C21/26 take precedence
• CPC Class Codes: G01D 21/00 Measuring or testing not otherwise provided for
• CPC Class Codes: G01D 3/08 with provision for safeguarding the apparatus, e.g. against abnormal operation, against breakdown
• CPC Class Codes: G01D 3/10 with provision for switching-in of additional or auxiliary indicators or recorders
• CPC Class Codes: G01P 13/00 Indicating or recording presence, absence, or direction, of movement electric switches H01H; counting moving objects G06M7/00
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G06F 17/18 for evaluating statistical data , e.g. average values, frequency distributions, probability functions, regression analysis forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04
• CPC Class Codes: G06F 3/0346 with detection of the device orientation or free movement in a 3D space, e.g. 3D mice, 6-DOF [six degrees of freedom] pointers using gyroscopes, accelerometers or tilt-sensors
• CPC Class Codes: G06F 3/038 Control and interface arrangements therefor, e.g. drivers or device-embedded control circuitry
• CPC Class Codes: G06F 9/4411 Configuring for operating with peripheral devices; Loading of device drivers
• CPC Class Codes: G06F 9/451 Execution arrangements for user interfaces
• CPC Class Codes: H04M 2250/12 including a sensor for measuring a physical value, e.g. temperature or motion
• CPC Class Codes: H04W 8/245 from a network towards a terminal
• CPC Class Codes: H04W 88/02 Terminal devices

Abstract

A method and apparatus for governing sensor data readings from a plurality of input sensors onboard a communications device. An inventory of available input sensors is generated, and a set of requested input sensors from an application running on the communications device is received. The requested input sensors that are absent from the inventory of available input sensors is identified, and based upon received measured values from the available input sensors, equivalent values for those absent input sensors are derived. The accuracy and precision of the measured and equivalent sensor values are estimated, and those measurements not meeting certain thresholds are filtered. The measured values and the derived equivalent values meeting the predetermined thresholds for accuracy and precision, and the filtered measured values and the filtered derived equivalent values are output to the application.

Claims

1. A method for synthesizing reported orientation data and reported motion data from a web browser application being executed on a mobile communications device for passing to a web browser sub-application, the method comprising:

identifying available input sensors from the reported orientation data and the reported motion data;

receiving from the web browser sub-application a set of requested input sensors;

flagging specific ones of the set of requested input sensors absent from the identified available input sensors;

receiving measured values from the available input sensors;

deriving equivalent values for the flagged specific ones of the requested input sensors from one or more measured values received from the available input sensors;

normalizing each of the measured values and the derived equivalent values to respective standard units;

applying a quality evaluation to each of the measured values and the derived equivalent values, the measured values and the derived equivalent values which satisfy a standard as defined under the quality evaluation being designated as adequate sensor values, while the measured values and the derived equivalent values not satisfying the standard as defined under the quality evaluation being designated as inadequate sensor values;

selectively applying a processing operation to the inadequate sensor values; and

passing the adequate sensor values and the processed inadequate sensor values to the web browser sub-application as a set of vetted sensor values.

2. The method of claim 1, wherein the processing operation includes:

selecting a filtering strategy from one or more predetermined filtering strategies based upon the identified available input sensors;

estimating one or more filtering parameters from an evaluation of the measured values received from the available input sensors; and

applying the selected filtering strategy with the estimated one or more filtering parameters to the inadequate sensor values.

3. The method of claim 1, wherein the standard is static and preset.

4. The method of claim 1, wherein the standard is dynamically defined in response to variations in the measured values and the derived equivalent values.

5. The method of claim 1, further comprising:

generating an estimate of a gravitational force vector and a magnetometer direction vector from the received measured values and the derived equivalent values.

6. The method of claim 1, wherein the measured values from the available input sensors are received via the reported orientation data and the reported motion data from the web browser application.

7. The method of claim 1, wherein the reported orientation data is provided as a set of representations selected from a group consisting of:

Euler angles, quaternion representations, and rotation matrix representations.

8. The method of claim 1, wherein the reported motion data is provided as a set of accelerometer sensor readings over a predefined time interval.

9. The method of claim 8, wherein the set of accelerometer sensor readings over the predefined interval are normalized to meters per second squared.

10. The method of claim 1, wherein the reported motion data is provided as a set of gyroscope readings over a predefined interval.

11. The method of claim 10, wherein the set of gyroscope readings over the predefined interval are normalized to radians per second.

12. The method of claim 1, wherein the reported motion data is provided as a set of gravity-corrected gyroscope readings over a predefined interval.

13. The method of claim 1, further comprising:

transmitting to a remote database an identifier of the mobile communications device and one or more sets of operating statistics data correlated thereto.

14. The method of claim 13, wherein the operating statistics data is selected from a group consisting of:

a listing of available input sensors of the mobile communications device, a listing of specific ones of the set of requested input sensors absent from the identified available input sensors, one or more results from the quality evaluations of the measured values and the derived equivalent values, and a listing of processing operations applied to the inadequate sensor values.

15. The method of claim 13, wherein the operating statistics data is an initial orientation of the mobile communications device.

16. The method of claim 13, wherein the operating statistics data is an average rotation speed measured over a predetermined duration.

17. The method of claim 13, wherein the operating statistics data is an user engagement duration.

18. The method of claim 1, wherein the standard is accuracy.

19. The method of claim 1, wherein the standard is precision.

20. The method of claim 1, wherein the reported orientation data and the reported motion data is provided in one or more data feeds invoked from a web browser application programming interface object.