Motion capture system that combines sensors with different measurement ranges

Patent metadata

Field	Value
Publication number	US-10133919-B2
Application number	US-201715820312-A
Country	US
Kind code	B2
Filing date	Nov 21, 2017
Priority date	Aug 26, 2010
Publication date	Nov 20, 2018
Grant date	Nov 20, 2018

Abstract

Motion capture system with a motion capture element that uses two or more sensors to measure a single physical quantity, for example to obtain both wide measurement range and high measurement precision. For example, a system may combine a low-range, high precision accelerometer having a range of −24 g to +24 g with a high-range accelerometer having a range of −400 g to +400 g. Data from the multiple sensors is transmitted to a computer that combines the individual sensor estimates into a single estimate for the physical quantity. Various methods may be used to combine individual estimates into a combined estimate, including for example weighting individual estimates by the inverse of the measurement variance of each sensor. Data may be extrapolated beyond the measurement range of a low-range sensor, using polynomial curves for example, and combined with data from a high-range sensor to form a combined estimate.

First claim

What is claimed is:

1. A motion capture system that combines sensors with different measurement ranges or resolutions comprising:
a motion capture element comprising
a memory;
a plurality of sensors comprising at least two sensors that each measure a same physical quantity on two or more axes, wherein said physical quantity is equal to or is a function of one or more of a position, an orientation, a velocity, an acceleration, an angular velocity, or an angular acceleration of said motion capture element;
a first communication interface; and,
a microprocessor coupled with said memory, said plurality of sensors, and said first communication interface, wherein said microprocessor is configured to
collect sensor data from said plurality of sensors, wherein said sensor data comprises a sensor value from each sensor of said plurality of sensors;
store said sensor data in said memory; and,
optionally transmit said sensor data to a computer via said first communication interface;

wherein
each sensor of said at least two sensors comprises
a measurement range that optionally comprises
 a closed interval between a lower measurable value and an upper measurable value, said measurement range having an interior comprising measurable values that are strictly greater than said lower measurable value and strictly less than said upper measurable value; and,
a measurement resolution;

said measurement range or said measurement resolution or both said measurement range and said measurement resolution associated with each sensor of said at least two sensors differs from the measurement range or the measurement resolution or both the measurement range and the measurement resolution associated with at least one other sensor of said at least two sensors;

wherein said microcomputer or said computer is configured to
calculate a combined estimate of said physical quantity from said sensor data; and,
analyze a motion of said motion capture element based on said sensor data and on said combined estimate of said physical quantity.

2. The system of claim 1 wherein said calculate said combined estimate of said physical quantity from said sensor data comprises
calculate an individual sensor estimate of said physical quantity from said sensor value associated with each sensor of said at least two sensors; and,
combine the individual sensor estimate across said at least two sensors to form said combined estimate of said physical quantity.

3. The system of claim 1 wherein
said plurality of sensors comprises at least one rate gyroscope;
said at least two sensors that each measure the same physical quantity comprise a plurality of accelerometers; and,
a first accelerometer in said plurality of accelerometers comprises an upper measurable value of 24 g or lower.

4. The system of claim 3 wherein
a second accelerometer in said plurality of accelerometers comprises an upper measurable value of 100 g or higher.

5. The system of claim 1 wherein
said plurality of sensors comprises at least one rate gyroscope;
said at least two sensors that each measure the same physical quantity comprise a plurality of accelerometers; and,
a first accelerometer in said plurality of accelerometers comprises an upper measurable value of 16 g or lower.

6. The system of claim 5 wherein
a second accelerometer in said plurality of accelerometers comprises an upper measurable value of 400 g or higher.

7. The system of claim 2 wherein said combine the individual sensor estimate across said at least two sensors comprises
determine whether the sensor value associated with each sensor of said at least two sensors is in said interior of said measurement range associated with said each sensor; and,
when only one sensor value is in said interior of said measurement range, set said combined estimate of said physical quantity to said only one sensor value.

8. The system of claim 7 wherein said combine the individual sensor estimate across said at least two sensors further comprises
when multiple sensor values are in said interior of said measurement range for the associated sensor, set said combined estimate of said physical quantity to a sensor value associated with a sensor that comprises a finest measurement resolution.

9. The system of claim 7 wherein
each sensor of said at least two sensors comprises an associated measurement variance; and,
said combine the individual sensor estimate across said at least two sensors further comprises
when multiple sensor values are in said interior of said measurement range for the associated sensor, set said combined estimate of said physical quantity to a weighted average of said multiple sensor values, with weights inversely proportional to said measurement variance for the associated sensor.

10. The system of claim 9 wherein
said each sensor of said at least two sensors further comprises an associated measurement resolution that represents a difference between successive measurement values of said each sensor; and,
said measurement variance is proportional to a square of said measurement resolution.

11. The system of claim 1 wherein one or both of said computer and said microprocessor are further configured to
track said sensor data over time;
analyze said sensor data over time to determine whether one or more sensors of said at least two sensors are out of calibration; and,
send a calibration required signal when said one or more sensors of said at least two sensors are out of calibration.

12. The system of claim 11 wherein said analyze said sensor data over time comprises perform a paired t-test on sensor data samples, wherein
each sensor data sample of said sensor data samples comprises
a first sensor value associated with a first sensor of said at least two sensors, wherein said first sensor value is in said interior of said measurement range of said first sensor;
a second sensor value associated with a second sensor of said at least two sensors, wherein said second sensor value is in said interior of said measurement range of said second sensor; and,
wherein said first sensor value and said second sensor value were measured at substantially a same time.

13. The system of claim 2 wherein said individual sensor estimate for a sensor of said at least two sensors is calculated as
said sensor value when said sensor value is in said interior of said measurement range of said sensor; and,
an extrapolated value based on extrapolation of one or more previous or subsequent sensor values in said interior of said measurement range when said sensor value is equal to said lower measurable value for said sensor or is equal to said upper measurable value for said sensor.

14. The system of claim 13 wherein said extrapolation fits a polynomial curve to said one or more previous or subsequent sensor values.

15. The system of claim 13 wherein said combine the individual sensor estimate across said at least two sensors comprises
set said combined estimate of said physical quantity to a weighted average of said individual sensor estimate across said at least two sensors, wherein each individual sensor estimate comprises an associated weight; and,
when said individual sensor estimate is said extrapolated value, set said associated weight for said extrapolated value to a decreasing function of a distance between said extrapolated value and said measurement range of said sensor.

16. The system of claim 15 wherein said associated weight for said extrapolated value is zero when said distance between said extrapolated value and said measurement range of said

Assignees

• Blast Motion Inc

Inventors

• Bose Bhaskar
• Gupta Piyush
• Lohr Scott

Classifications

• G06F2218/10

  by analysing the shape of a waveform, e.g. extracting parameters relating to peaks · CPC title

• G06Q10/40

  Business processes related to social networking or social networking services · CPC title

• G06F3/0346

  with detection of the device orientation or free movement in a three-dimensional [3D] space, e.g. 3D mice, 6-DOF [six degrees of freedom] pointers using gyroscopes, accelerometers or tilt-sensors · CPC title

• H04M2250/12

  including a sensor for measuring a physical value, e.g. temperature or motion · CPC title

• A63B2220/40

  Acceleration · CPC title