Methods and systems for vertical trajectory determination and automatic jump detection

• US 10,240,929 B2
• Filed: 10/01/2015
• Issued: 03/26/2019
• Est. Priority Date: 10/01/2014
• Status: Active Grant

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Zihajehzadeh, Shaghayegh, Lee, Tien Jung, Park, Jung Wook, Hoskinson, Reynald Antoine, Abdollahi, Hamid
• Primary Examiner(s): Lee, Tyler J
• Application Number:
  US15/507,328
• Publication Number:
  US 20170284805A1
• Time in Patent Office: 1,272 Days
• Field of Search: 701504
• CPC Class Codes: A61B 5/1122 of movement trajectories
• CPC Class Codes: A63B 5/16 Training devices for jumping; Devices for balloon-jumping; Jumping aids A63B25/02, A63B25/10 take precedence
• CPC Class Codes: G01C 21/165 combined with non-inertial navigation instruments
• CPC Class Codes: G01C 21/24 specially adapted for cosmonautical navigation
• CPC Class Codes: G01C 21/28 with correlation of data from several navigational instruments
• CPC Class Codes: G01C 5/06 by using barometric means
• CPC Class Codes: G01P 15/13 by measuring the force required to restore a proofmass subjected to inertial forces to a null position
• CPC Class Codes: G06F 18/295 Markov models or related models, e.g. semi-Markov models; Markov random fields; Networks embedding Markov models
• CPC Class Codes: G06F 2218/00 Aspects of pattern recognition specially adapted for signal processing
• CPC Class Codes: G06F 2218/12 Classification; Matching
• CPC Class Codes: G06V 40/23 Recognition of whole body movements, e.g. for sport training

Abstract

The present disclosure provides a jump detection system for inertial measurement unit (IMU) integrated with a barometric altimeter in the same device (IMU-baro). The processor is configured to record time-series data of both a vertical component of the measured IMU-baro acceleration and the estimated vertical velocity of the IMU-baro, detect a potential jump by comparing the vertical component of the measured IMU-baro acceleration to one or more acceleration thresholds, and, validate the potential jump by comparing a difference between a maximum velocity and a minimum velocity within a vicinity of the potential jump in the time-series data of the estimated vertical velocity of the IMU-baro to a velocity threshold.

Claims

1. A jump detection system for a device comprising an inertial measurement unit (IMU) integrated with a barometric altimeter in the same device, the jump detection system comprising:

a first Kalman filter connected to a rate of turn input and to an acceleration input to estimate a roll and pitch of the device based on the rate of turn input and the acceleration input;

a second Kalman filter connected to the acceleration input, to a barometric pressure input, and to the first Kalman filter;

the second Kalman filter cascaded with the first Kalman filter to receive the estimate of the roll and pitch of the device from the first Kalman filter and to estimate vertical position and vertical velocity of the device based on the acceleration input, the barometric pressure input using barometric altimeter, and the estimate of the roll and pitch of the device; and

a processor connected to the first Kalman filter and to the second Kalman filter, the processor configured to;

record time-series data of both a vertical component of the acceleration input and the estimate of the vertical velocity of the device;

detect a potential jump by comparing the vertical component of the acceleration input to one or more acceleration thresholds; and

validate the potential jump by comparing a difference between a maximum velocity and a minimum velocity within a threshold range of the potential jump in the time-series data of the estimate of the vertical velocity of the device to a velocity threshold.

2. The jump detection system of claim 1, wherein the processor is further configured to detect a potential jump takeoff by comparing the vertical component of the acceleration input to a first acceleration threshold and detect a potential jump landing by comparing the vertical component of the acceleration input to a second acceleration threshold.

3. The jump detection system of claim 2, wherein the processor is further configured to record a duration of the potential jump based on the detection of the potential jump and detection of the potential jump landing, and to compare the duration of the potential jump to a duration threshold in order to further validate the potential jump.

4. The jump detection system of claim 3, wherein the processor determines the difference in the time-series data of the estimate of the vertical velocity by searching for a maximum vertical velocity at a time before a start of the potential jump and searching for a minimum vertical velocity at a time after an end of the potential jump, and by subtracting the minimum vertical velocity from the maximum vertical velocity.

5. The jump detection system of claim 1, wherein the processor is further configured to record characteristics of the validation of the potential jump.

6. A computer program product, comprising a non-transitory computer readable storage medium having a computer readable program code embodied therein, the computer readable program code adapted to be executed to implement instructions to:

measure a rate of turn of an IMU-baro, an acceleration of the IMU-baro, and a barometric pressure;

estimate, according to a first Kalman filter operation, a roll and pitch of the IMU-baro based on the rate of turn and the acceleration;

provide the roll and pitch estimate from the first Kalman filter operation to a second Kalman filter operation;

estimate, according to the second Kalman filter operation, a vertical position and a vertical velocity of the IMU-baro based on the acceleration, the barometric pressure, and the roll and pitch estimate;

determine the vertical position and the vertical velocity of the IMU-baro based on the estimate of the vertical position and the vertical velocity;

record time-series data of both a vertical component of the acceleration and the estimate of the vertical velocity of the IMU-baro;

detect a potential jump by comparing the vertical component of the acceleration to one or more acceleration thresholds; and

validate the potential jump by comparing a difference between a maximum velocity and a minimum velocity within a threshold range of the potential jump in the time-series data of the estimate of the vertical velocity of the IMU-baro to a velocity threshold.

7. The computer program product of claim 6, the computer readable program code further adapted to be executed to implement instructions to detect a potential jump takeoff by comparing the vertical component of the acceleration to a first acceleration threshold and detect a potential jump landing by comparing the vertical component of the acceleration to a second acceleration threshold.

8. The computer program product of claim 6, the computer readable program code further adapted to be executed to implement instructions to record a duration of the potential jump based on the detection of the potential jump and detection of the potential jump landing, and to compare the duration of the potential jump to a duration threshold in order to further validate the potential jump.

9. The computer program product of claim 6, the computer readable program code further adapted to be executed to implement instructions to determine the difference in the time-series data of the estimate of the vertical velocity by searching for a maximum vertical velocity at a time before a start of the potential jump and identify for a minimum vertical velocity at a time after an end of the potential jump, and by subtracting the minimum vertical velocity from the maximum vertical velocity.

10. The computer program product of claim 6, further comprising recording characteristics of the validation of the potential jump.

11. An apparatus for jump detection including an inertial measurement unit (IMU) integrated with a barometric altimeter in the same apparatus, the apparatus comprising:

a first Kalman filter connected to a rate of turn input and to an acceleration input to estimate a roll and pitch of the apparatus based on the rate of turn input and the acceleration input;

a second Kalman filter connected to the acceleration input, to a barometric pressure input, and to the first Kalman filter;

the second Kalman filter cascaded with the first Kalman filter to receive the estimate of the roll and pitch of the apparatus from the first Kalman filter and to estimate a vertical position and a vertical velocity of the apparatus based on the acceleration input, the barometric pressure input using barometric altimeter, and the estimate of the roll and pitch of the apparatus; and

a processor connected to the first Kalman filter and to the second Kalman filter, the processor configured to;

record time-series data of both a vertical component of the acceleration input and the estimate of the vertical velocity of the apparatus;

detect a potential jump by comparing the vertical component of the acceleration input to one or more acceleration thresholds; and

validate the potential jump by comparing a difference between a maximum velocity and a minimum velocity within a threshold range of the potential jump in the time-series data of the estimate of the vertical velocity of the apparatus to a velocity threshold.

12. The apparatus of claim 11, wherein the processor is further configured to detect a potential jump takeoff by comparing the vertical component of the acceleration input to a first acceleration threshold and detect a potential jump landing by comparing the vertical component of the acceleration input to a second acceleration threshold.

13. The apparatus of claim 12, wherein the processor is further configured to record a duration of the potential jump based on the detection of the potential jump and detection of the potential jump landing, and to compare the duration of the potential jump to a duration threshold in order to further validate the potential jump.

14. The apparatus of claim 13, wherein the processor determines the difference in the time-series data of the estimate of the vertical velocity by searching for a maximum vertical velocity at a time before a start of the potential jump and searching for a minimum vertical velocity at a time after an end of the potential jump, and by subtracting the minimum vertical velocity from the maximum vertical velocity.

15. The apparatus of claim 11, wherein the processor is further configured to record characteristics of the validation of the potential jump.