Method and apparatus for providing adaptive display and filtering of sensors and sensor data

• US 9,269,000 B2
• Filed: 10/29/2012
• Issued: 02/23/2016
• Est. Priority Date: 07/29/2011
• Status: Active Grant

• Current Assignee: RPX Corporation
• Original Assignee: Nokia Technologies Oy (Nokia Corporation)
• Inventors: Korhonen, Ilkka, Makela, Tero Markuu, Nousiainen, Jari Olavi
• Primary Examiner(s): Cosimano, Edward
• Application Number:
  US13/663,285
• Publication Number:
  US 20130060480A1
• Time in Patent Office: 1,212 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0209 adapted for power saving
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0024 for multiple sensor units attached to the patient, e.g. using a body or personal area network
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/721 using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured
• CPC Class Codes: A61B 5/725 using specific filters therefor, e.g. Kalman or adaptive filters A61B5/316 take precedence
• 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: G01R 15/00 Details of measuring arrangements of the types provided for in groups G01R17/00 - G01R29/00, G01R33/00 - G01R33/26 or G01R35/00
• CPC Class Codes: G01R 29/00 Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
• CPC Class Codes: G06F 17/40 Data acquisition and logging for input to computer G06F3/00
• CPC Class Codes: G06F 18/256 of results relating to different input data, e.g. multimodal recognition
• CPC Class Codes: G06F 2218/12 Classification; Matching
• CPC Class Codes: G06V 30/248 involving plural approaches, e.g. verification by template match; Resolving confusion among similar patterns, e.g. "O" versus "Q" G06V30/242 takes precedence
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass
• CPC Class Codes: H03H 21/0012 Digital adaptive filters

Abstract

An approach is provided for adaptive display and filtering of sensors and sensor data. A sensor manager determines one or more signals associated with one or more sensors. The sensor manager then processes and/or facilitates a processing of the one or more signals for comparison against one or more predetermined signals. The sensor manager determines one or more parameters for one or more filters based, at least in part, on the comparison, wherein the one or more filters operate, at least in part, on the one or more sensors, one or more other signals determined form the one or more sensors, or a combination thereof.

Claims

1. A method comprising facilitating a processing of and/or processing (1) data and/or (2) information and/or (3) at least one signal, the (1) data and/or (2) information and/or (3) at least one signal based, at least in part, on the following:

one or more signals associated with one or more sensors, the one or more sensors associated with determining at least one operational state of one or more other sensors;

a processing of the one or more signals for comparison against one or more predetermined signals; and

one or more parameters for one or more filters based, at least in part, on the comparison,

wherein the one or more filters operate, at least in part, on the one or more sensors, one or more other signals determined from the one or more other sensors, or a combination thereof,

transmitting, via a transceiver, the one or more signals.

2. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

a processing of the one or more predetermined signals to determine the one or more parameters; and

an association of the one or more parameters to the one or more predetermined signals.

3. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

a processing of the one or more predetermined signals to generate one or more models,

wherein the comparison of the one or more signals against the one or more predetermined signals is based, at least in part, on the one or more models.

4. A method of claim 1, wherein the one or more signals, the one or more predetermined signals, the one or more other signals, or a combination include, at least in part, (a) one or more movement signals;

(b) one or more physiological signals;

(c) one or more models of the one or more movement signals, the one or more physiological signals, or a combination thereof;

or (d) a combination thereof.

5. A method of claim 1, wherein the one or more filters include, at least in part, one or more adaptive filters, and wherein the one or more parameters include, at least in part, initiation data, one or more coefficients determined from the initiation data, or a combination thereof.

6. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

a processing of the one or more signals, the one or more predetermined signals, or a combination thereof into one or more classes,

wherein the comparison is based, at least in part, on the one or more classes.

7. A method of claim 2, wherein the one or more filters are associated with at least one of the one or more classes.

8. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

at least one determination of a beginning of a sampling period for the one or more other sensors; and

an initiation of the determining of the one or more signals, the processing of the one or more signals, the determination of the one or more parameters, or a combination thereof based, at least in part, on the determining of the beginning of the sampling period.

9. A method of claim 8, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

a processing of the one or more signals to determine one or more movement states for the sampling period; and

at least one determination of the one or more parameters based, at least in part, on the one or more movement states.

10. A method of claim 9, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

a monitoring of the one or more signals periodically, continuously, according to a schedule, on demand, or a combination thereof; and

one or more updates to the one or more movement states based, at least in part, on the monitoring.

11. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

a processing of the one more signals for determining one or more user interface states for presenting one or more sensor data at a device, at the one or more sensors, or a combination thereof.

12. A method of claim 11, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

at least one determination of the one or more user interface states based, at least in part, on one or more prior user interface states, one or more user preferences, one or more configurations of one or more devices, or a combination thereof.

13. A method of claim 11, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

at least one determination of the one or user interface states based, at least in part, on one or more status information items associated with the one or more devices, one or more user interactions, or a combination thereof.

14. An apparatus comprising:

at least one processor;

at least one memory including computer program code, and

a transceiver configured to transmit the one or more signals,

the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following,

determine one or more signals associated with one or more sensors, the one or more sensors associated with determining at least one operational state of one or more other sensors;

process and/or facilitate a processing of the one or more signals for comparison against one or more predetermined signals; and

determine one or more parameters for one or more filters based, at least in part, on the comparison,

wherein the one or more filters operate, at least in part, on the one or more sensors, one or more other signals determined from the one or more other sensors, or a combination thereof.

15. An apparatus of claim 14, wherein the apparatus is further caused to:

process and/or facilitate a processing of the one or more predetermined signals to determine the one or more parameters; and

cause, at least in part, an association of the one or more parameters to the one or more predetermined signals.

16. An apparatus of claim 14, wherein the apparatus is further caused to:

process and/or facilitate a processing of the one or more predetermined signals to generate one or more models,

wherein the comparison of the one or more signals against the one or more predetermined signals is based, at least in part, on the one or more models.

17. An apparatus of claim 14, wherein the one or more signals, the one or more predetermined signals, the one or more other signals, or a combination include, at least in part, (a) one or more movement signals;

(b) one or more physiological signals;

(c) one or more models of the one or more movement signals, the one or more physiological signals, or a combination thereof;

or (d) a combination thereof.

18. An apparatus of claim 14, wherein the one or more filters include, at least in part, one or more adaptive filters, and wherein the one or more parameters include, at least in part, initiation data, one or more coefficients determined from the initiation data, or a combination thereof.

19. An apparatus of claim 14, wherein the apparatus is further caused to:

process and/or facilitate a processing of the one or more signals, the one or more predetermined signals, or a combination thereof into one or more classes, wherein the comparison is based, at least in part, on the one or more classes.

20. An apparatus of claim 19, wherein the one or more filters are associated with at least one of the one or more classes.

21. An apparatus of claim 14, wherein the apparatus is further caused to:

determine a beginning of a sampling period for the one or more other sensors; and

cause, at least in part, an initiation of the determining of the one or more signals, the processing of the one or more signals, the determination of the one or more parameters, or a combination thereof based, at least in part, on the determining of the beginning of the sampling period.

22. An apparatus of claim 21, wherein the apparatus is further caused to:

process and/or facilitate a processing of the one or more signals to determine one or more movement states for the sampling period; and

determine the one or more parameters based, at least in part, on the one or more movement states.

23. An apparatus of claim 22, wherein the apparatus is further caused to:

cause, at least in part, a monitoring of the one or more signals periodically, continuously, according to a schedule, on demand, or a combination thereof; and

determine one or more updates to the one or more movement states based, at least in part, on the monitoring.

24. An apparatus of claim 14, wherein the apparatus is further caused to:

process and/or facilitate a processing of the one more signals for determining one or more user interface states for presenting one or more sensor data at a device, at the one or more sensors, or a combination thereof.

25. An apparatus of claim 24, wherein the apparatus is further caused to:

determine the one or more user interface states based, at least in part, on one or more prior user interface states, one or more user preferences, one or more configurations of one or more devices, or a combination thereof.

26. An apparatus of claim 24, wherein the apparatus is further caused to:

determine the one or user interface states based, at least in part, on one or more status information items associated with the one or more devices, one or more user interactions, or a combination thereof.