DEVICE AND METHOD FOR CHARACTERIZING MOVEMENTS

• US 20120016624A1
• Filed: 12/29/2009
• Published: 01/19/2012
• Est. Priority Date: 01/05/2009
• Status: Abandoned Application

• Current Assignee: Movea SA (TDK Corporation)
• Original Assignee: Commissariat A L'Energie Atomique et AUX Energies Alternatives, Moves
• Inventors: Caritu, Yanis, Godin, Christelle, Aujay, Grégoire, De Foras, Etienne
• Application Number:
  US13/143,319
• Publication Number:
  US 20120016624A1
• Time in Patent Office: Days
• US Class Current: 702/141
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/6807 Footwear
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/7242 using integration
• CPC Class Codes: A63F 2300/1012 involving biosensors worn by the player, e.g. for measuring heart beat, limb activity
• CPC Class Codes: A63F 2300/105 using inertial sensors, e.g. accelerometers, gyroscopes
• CPC Class Codes: A63F 2300/6045 for mapping control signals received from the input arrangement into game commands
• CPC Class Codes: G06F 2218/00 Aspects of pattern recognition specially adapted for signal processing
• 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 3/013 Eye tracking input arrangements G06F3/015 takes precedence
• CPC Class Codes: G06F 3/017 Gesture based interaction, e.g. based on a set of recognized hand gestures interaction based on gestures traced on a digitiser G06F3/04883
• 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: G06V 40/25 Recognition of walking or running movements, e.g. gait recognition

Abstract

The invention proposes a device and a method for characterizing movements performed by an object, notably a limb of a human being instrumented with at least one accelerometer. The invention is particularly useful for determining the direction, the line and the length of the steps of said human being. The invention uses algorithms for processing the signals from the sensor to make it possible to segment the steps by identifying the lifting and the landing of said limb by comparing the signals output from the sensor with thresholds, to determine the direction and the line of the step by comparing the maxima of the values of the signals along two axes substantially parallel to the walking plane and to calculate the length of the step by double integration of the signals according to the direction of the step. The invention is also applicable to hand movements that have trend characteristics similar to those of the steps.

Claims

1. A device for characterizing movements of an object comprising at least one accelerometer fastened to said object and a computation module, said computation module being capable of using the outputs of said at least one accelerometer to execute:

at least one function for segmenting said movements into individual movements between a first position and a second position, and

for each individual movement, at least one function for determining the direction and the line of displacement of said individual movement relative to at least one axis linked to the object.

2. The device for characterizing movements of an object as claimed in claim 1, wherein said first and second positions correspond to instants during which said object is substantially immobile or has been affected by an impact.

3. The device for characterizing movements of an object as claimed in claim 1, wherein the computation module is capable of also executing at least one function for calculating the length of the individual movement in the direction of movement.

4. The device for characterizing movements of an object as claimed in claim 1, wherein said object is a foot or a hand of a human being.

5. The device for characterizing movements of an object as claimed in claim 1, wherein said computation module is also capable of executing a function for assessing the conformity of the movements of the object relative to at least one sequence of prerecorded movements.

6. The device for characterizing movements of an object as claimed in claim 1, wherein said computation module is also capable of executing a function for controlling the displacements of a virtual object representing the object in real movement on a display linked to said computation module, said displacements logically and quantitatively corresponding to said movements.

7. The device for characterizing movements of an object as claimed in claim 1, also comprising at least one magnetometer fastened to the object and wherein said computation module is capable of also using the outputs of said at least one accelerometer and of said at least one magnetometer to execute a function for determining the orientation of said object in at least one plane.

8. A method for characterizing movements of an object comprising at least one step for capturing the output signals from at least one accelerometer fastened to said object and a step for calculation by a processor, in which method, during said calculation step, the outputs from the step for capturing the output signals from at least one accelerometer are used to execute at least one function for segmenting said movements into individual movements between a first position and a second position, and, for each individual movement, at least one function for determining the direction and the line of displacement of said individual movement relative to at least one axis linked to the object.

9. The method for characterizing movements of an object as claimed in claim 8, wherein, during said calculation step, at least one function for calculating the length of the individual movement in the direction of movement is also executed.

10. The method for characterizing movements of an object as claimed in claim 8, wherein said calculation step also comprises, when the elevation of the accelerometer over the object is substantially greater than 20°

, a step for calibrating the measurements output from the step for capturing the output signals from the accelerometer.

11. The method for characterizing movements of an object as claimed in claim 8, wherein said individual movement segmentation function comprises a step for centering on the average value of measurements output from at least one axis of the accelerometer.

12. The method for characterizing movements of an object as claimed in claim 11, wherein said individual movement segmentation function also comprises a filtering step based on calculation of at least one sliding average of said centered measurements.

13. The method for characterizing movements of an object as claimed in claim 8, wherein said step segmentation function comprises a step for calculating a norm of at least one measured or calculated value output from the accelerometer then for comparing said norm to a predetermined threshold to deduce the start or the end of the individual movement therefrom.

14. The method for characterizing movements of an object as claimed in claim 13, wherein said step segmentation function processes only the measurements over a time horizon greater than a predetermined value.

15. The method for characterizing movements of an object as claimed in claim 14, wherein said individual movement segmentation function processes only the measurements beginning at the end of a first chosen time interval following the start of an individual movement and ending at the start of a second chosen time interval preceding the end of said individual movement.

16. The method for characterizing movements of an object as claimed in claim 13, wherein said function for determining the direction of the individual movement comprises a step for calculating the maxima of the absolute values of the integrals of the measurements along each of the two axes substantially parallel to the plane of the individual movements on the signal sample determined at the output of the individual movement segmentation function, then a step for comparing the maximum along one of the axes with the maximum on the other axis, the direction of the individual movement being determined as being that of the axis of the maximum.

17. The method for characterizing movements of an object as claimed in claim 13, wherein said function for determining the direction of the individual movement comprises a step for calculating the maxima of the absolute values of the integrals of the measurements along each of the two axes substantially parallel to the plane of the individual movements on the signal sample determined at the output of the individual movement segmentation function, then a step for calculating the ratio of the maxima along the two axes, the direction of the individual movement being determined as forming an angle with the axis whose maximum is the denominator of said ratio for which the tangent is equal to said ratio.

18. The method for characterizing movements of an object as claimed in claim 16, wherein said function for determining the line of the individual movement comprises, at the output of the step for determining the direction of the individual movement, a step for determining the signs of the maxima along said two axes, said sign determining the line of the individual movement in the determined direction.

19. The method for characterizing movements of an object as claimed in claim 16, wherein said function for calculating the length of the individual movement comprises a step for double integration of the absolute values of the measurements according to the direction of the individual movement determined at the output of the function for determining the direction and the line of the individual movement.

20. System for evaluating the movements of an object comprising:

A master scenario of reference movements to be executed by said object,

A control interface of said reference movements of said object,

At least one first uniform field sensor, said sensor being fastened to said object,

A calculation module, said module being capable to execute from the output of said first sensor;

at least one function for segmenting said movements into individual movements between a first position and a second position, and

for each individual movement, at least one function for determining the direction and the line of displacement of said individual movement relative to at least one axis linked to the object,

said movements of said object being executed in response to said reference movements.