SYSTEMS AND METHODS FOR LOCATION, MOTION, AND CONTACT DETECTION AND TRACKING IN A NETWORKED AUDIOVISUAL DEVICE

• US 20110093227A1
• Filed: 08/16/2010
• Published: 04/21/2011
• Est. Priority Date: 12/08/2006
• Status: Active Grant

• Current Assignee: BBY Solutions Incorporated (Best Buy Co., Inc.)
• Original Assignee: BBY Solutions Incorporated (Best Buy Co., Inc.)
• Inventors: Steele, Kenneth Earl, Huang, Andrew Shane, Tomlin, Stephen Lawrence, Adler, Steven Michael, Maxwell, Duane Stewart
• Granted Patent: US 8,121,808 B2
• Time in Patent Office: Days
• US Class Current: 702/94
• CPC Class Codes: G06F 1/1626 with a single-body enclosure integrating a flat display, e.g. Personal Digital Assistants [PDAs]
• CPC Class Codes: G06F 1/1656 Details related to functional adaptations of the enclosure, e.g. to provide protection against EMI, shock, water, or to host detachable peripherals like a mouse or removable expansions units like PCMCIA cards, or to provide access to internal components for maintenance or to removable storage supports like CDs or DVDs, or to mechanically mount accessories mounting of accessories to a computer display G06F1/1607; display hoods G06F1/1603; cooling arrangements for portable computers G06F1/203
• CPC Class Codes: G06F 1/1684 Constructional details or arrangements related to integrated I/O peripherals not covered by groups G06F1/1635 - G06F1/1675
• CPC Class Codes: G06F 1/1694 the I/O peripheral being a single or a set of motion sensors for pointer control or gesture input obtained by sensing movements of the portable computer
• CPC Class Codes: G06F 2200/1637 Sensing arrangement for detection of housing movement or orientation, e.g. for controlling scrolling or cursor movement on the display of an handheld computer
• CPC Class Codes: G06F 3/011 Arrangements for interaction with the human body, e.g. for user immersion in virtual reality blind teaching G09B21/00
• 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 3/0418 for error correction or compensation, e.g. based on parallax, calibration or alignment

Abstract

Systems and methods for location, motion, and contact detection and tracking in a portable networked device are disclosed. A portable device may include a motion detection unit including an accelerometer for detecting accelerations in one or more axes. Signals associated with the detected motion are processed to generate estimates of device acceleration, velocity, and relative and absolute locations. Additional processing may be performed to detect user gestures or other user input relevant to portable device control. Particular motion or vibrational characteristics may be also be detected and used by other processes in the portable device.

Claims

1. A motion module for incorporation in a portable device, comprising:

a processor module, including a processor and a processor readable memory disposed to store data and instructions for execution by said processor;

a motion sensing module in electrical communication with the processor module, said motion sensing module including;

an accelerometer disposed to provide an analog acceleration signal associated with one or more axes of motion of said portable electronic device;

an analog to digital (A/D) converter disposed to receive said analog acceleration signal and generate a plurality of digital acceleration values; and

a signal processing module disposed to;

generate, from said plurality of digital acceleration values, a plurality of relative velocity values and a plurality of relative position values, and store, in said memory, said plurality of relative velocity values and said plurality of relative position values.

2. The module of claim 1 wherein said analog acceleration signal includes signal components associated with each of three orthogonal axes (X, Y, and Z) of motion.

3. The module of claim 1 wherein said motion sensing module further comprises a prefiltering module in electrical communication with said accelerometer and said analog to digital converter, said prefilter module disposed to provide a lowpass filtered analog acceleration signal to the input of said analog to digital converter.

4. The module of claim 1 wherein said signal processing module includes a first integrator module disposed to generate, based at least in part on said plurality of digital acceleration values, said plurality of relative velocity values, and a second integrator module disposed to generate, based at least in part on said plurality of relative velocity values, said plurality of relative position values.

5. The module of claim 4 wherein said signal processing module includes a heuristic trend analysis module disposed to receive said plurality of digital acceleration values and provide, to said first and second integrator modules, a noise offset suppression signal.

6. The module of claim 4 wherein said signal processing module further includes a Kalman filter module disposed to:

receive, at a Kalman filter input, said plurality of digital acceleration values, said plurality of relative velocity values, and said plurality of relative position values;

apply a Kalman filtering process to said plurality of relative acceleration values, said plurality of relative velocity values, and said plurality of relative position values, to provide a plurality of interpolated position values; and

store said plurality of interpolated position values in said memory.

7. The module of claim 6 wherein said signal processing module further includes a vector quantization module disposed to:

receive position calibration data including a set of predefined positions;

receive said plurality of interpolated position values;

generate, based at least in part on said position calibration data and said interpolated position values, a first implied position value, said first implied position value based on one of said predefined positions; and

store said first implied position value in said memory.

8. The module of claim 6 wherein said signal processing module further includes a gesture recognition module disposed to:

receive a set of gesture data, said gesture data including data sets associated with a plurality of predefined gestures;

receive said plurality of interpolated position values;

compare said gesture data and said plurality of interpolated position values;

generate, responsive to said comparing, gesture match data, said gesture match data including match information associated with one or more of said plurality of predefined gestures; and

store said gesture match data in said memory.

9. The module of claim 8, wherein said gesture recognition module is disposed to generate said gesture match data at least in part based on a trellis algorithm.

10. The module of claim 6 wherein said signal processing module further includes a signature match module disposed to:

receive a matching signal data set;

receive said plurality of digital acceleration values;

provide said matching signal data set and said digital acceleration values to a matched filter; and

store the output of said matched filter in said memory.

11. The module of claim 10 wherein said signature match module is further disposed to provide, based on the output of said matched filter, a match indication signal if said plurality of digital acceleration values matches said matching signal data set.

12. A portable electronic device comprising:

a frame structure;

a core electronics unit including a processor and memory disposed to store data and instructions for one or more computer programs configured to be executed by the processor;

a motion sensing module in electrical communication with the core electronics unit, said motion sensing module including;

an accelerometer disposed to provide an analog acceleration signal associated with one or more axes of motion of said portable electronic device;

an analog to digital (A/D) converter disposed to receive said analog acceleration signal and generate a plurality of digital acceleration values;

a communications module configured to provide one or more network connections;

a signal processing module including machine readable instructions, stored in said memory and configured to be implemented, at least in part, on said processor, to generate, from said plurality of digital acceleration values, a plurality of relative velocity and relative position values, and store, in said memory, said plurality of digital acceleration values, said plurality of relative velocity values, and said plurality of relative position values; and

a housing attached to the frame structure, the housing at least partially defining a compartment containing the core electronics unit and the motion sensing unit.

13. The device of claim 12 wherein said analog acceleration signal includes signal components associated with each of three orthogonal axes (X, Y, and Z) of motion.

14. The device of claim 12 wherein said motion sensing module further comprises a prefiltering module in electrical communication with said accelerometer and said analog to digital converter, said prefilter module disposed to provide a lowpass filtered analog acceleration signal to the input of said analog to digital converter.

15. The device of claim 12 wherein said signal processing module includes a first integrator module disposed to generate, based at least in part on said plurality of digital acceleration values, said plurality of relative velocity values, and a second integrator module disposed to generate, based at least in part on said plurality of relative velocity values, said plurality of relative position values.

16. The device of claim 15 wherein said signal processing module includes a heuristic trend analysis module disposed to receive said plurality of digital acceleration values and provide, to said first and second integrator modules, an offset suppression signal.

17. The device of claim 15 wherein said signal processing module further includes a Kalman filter module disposed to:

receive said plurality of digital acceleration values, said plurality of relative velocity values, and said plurality of relative position values;

apply a Kalman filtering process to said plurality of relative acceleration values, said plurality of relative velocity values, and said plurality of relative position values, to provide a plurality of interpolated position values; and

store said plurality of interpolated position values in said memory.

18. The device of claim 17 wherein said signal processing module further includes a vector quantization module disposed to:

receive position calibration data including a set of predefined positions;

receive said plurality of interpolated position values;

generate, based at least in part on said position calibration data and said interpolated position values, a first implied position value, said first implied position value based on one of said predefined positions; and

store said first implied position value in said memory.

19. The device of claim 17 wherein said signal processing module further includes a gesture recognition module disposed to:

receive a set of gesture data, said gesture data including data sets associated with a plurality of predefined gestures;

receive said plurality of interpolated position values;

compare said gesture data and said plurality of interpolated position values;

generate, responsive to said comparing, gesture match data, said gesture match data including match information associated with one or more of said plurality of predefined gestures; and

store said gesture match data in said memory.

20. The device of claim 19, wherein said gesture recognition module is disposed to determine generate said gesture match data at least in part based on a trellis algorithm.

21. The device of claim 17 wherein said signal processing module further includes a signature match module disposed to:

receive a matching signal data set;

receive said plurality of digital acceleration values;

provide said matching signal data set and said plurality of digital acceleration values to a matched filter;

generate a matched filter output; and

store said matched filter output in said memory.

22. The device of claim 21 wherein said signature match module is further disposed to provide, based on said matched filter output, a match indication signal if said plurality of digital acceleration values matches said matching signal data set.

24. The method of claim 22 wherein said analog acceleration signal includes signal components associated with three orthogonal axes (X, Y, and Z) of motion, and said plurality of digital acceleration values includes a plurality of digital acceleration values associated with each of said X, Y, and Z axes of motion.

25. The method of claim 22 further including the step of lowpass filtering said analog acceleration signal to provide a lowpass filtered analog acceleration signal, and providing said lowpass filtered analog acceleration signal to said A/D converter.

23. A method of operating a portable device comprising the steps of:

generating, at an accelerometer, an analog acceleration signal associated with one or more axes of motion of said portable device;

providing, to an A/D converter, said analog acceleration signal;

providing, from said A/D converter, a plurality of digital acceleration values based on said analog acceleration signal;

generating, based at least in part on said plurality of digital acceleration values, a plurality of relative velocity values and a plurality of relative position values; and

storing, in a processor readable memory, said plurality of digital acceleration values, said plurality of relative velocity values, and said plurality of relative position values.

26. The method of claim 23 wherein said plurality of digital acceleration values are integrated in a first integrator module to provide said plurality of relative velocity values, and said plurality of relative velocity values are integrated in a second integrator module to provide said plurality of relative position values.

27. The method of claim 26 further including the steps of receiving, at a heuristic trend analysis module, said plurality of digital acceleration values, and providing, from said heuristic trend analysis module, an offset suppression signal.

28. The method of claim 26 further including the steps of:

receiving, at a Kalman filter, said plurality of digital acceleration values, said plurality of relative velocity values, and said plurality of relative position values;

providing, from said Kalman filter, a plurality of interpolated position values; and

storing, in said memory, said plurality of interpolated position values.

29. The method of claim 28 further including the steps of:

receiving position calibration data, including a set of predefined positions;

receiving said plurality of interpolated position values;

generating, based at least in part on said position calibration data and said plurality of interpolated position values, a first implied position value, said first implied position value based on one of said predefined positions; and

storing said first implied position value in said memory.

30. The method of claim 28 further including the steps of:

receiving a set of gesture data, said gesture data including one or more data sets associated with each of a plurality of predefined gestures;

receiving said plurality of interpolated position values;

comparing said gesture data and said plurality of interpolated position values;

generating, responsive to said comparing, gesture match data, said gesture match data including matching information associated with one or more of said plurality of predefined gestures; and

storing said gesture match data in said memory.

31. The method of claim 30, wherein said gesture match data is generated at least in part based on a trellis algorithm.

32. The method of claim 28 further including the steps of:

receiving a matching signal data set;

receiving said plurality of digital acceleration values;

providing said matching signal data set and said plurality of digital acceleration values to a matched filter;

generating, at said matched filter, a matched filter output data set; and

storing said matched filter output data set in said memory.

33. The method of claim 32 including the step of providing, based on the output of said matched filter data set, a match indication signal if said plurality of digital acceleration values match said matching signal data set.

34. A method of motion processing to determine positioning of a portable electronic device, comprising the steps of:

receiving training input at said portable device identifying a plurality of mapped locations within a mapped area;

determining, based on processing of acceleration data associated with one or more axes of motion of said portable device, an estimated position; and

based at least in part on said mapped locations and said estimated position, identifying a current position within said plurality of mapped locations.

35. The method of claim 34 wherein said identifying a current position comprises the steps of:

determining a start location;

detecting an onset of motion;

responsive to said detecting, receiving one or more acceleration component signals associated with said motion, and integrating said component signals to determine one or more running positions;

detecting when said motion has substantially stopped;

responsive to said detecting, determining said estimated location based on said one or more running positions; and

based at least in part on the start location and the stop location, mapping the estimated location of the device to one of said plurality of mapped locations, and storing said mapped location as said current position.