Force measurement system
A force measurement system is disclosed herein. The force measurement system includes a force measurement assembly configured to receive a subject thereon, and one or more data processing devices operatively coupled to the force measurement assembly. In one or more embodiments, the one or more data processing devices are operatively coupled to the force measurement assembly, the one or more data processing devices configured to receive one or more signals that are representative of forces and/or moments being applied to a top surface of the force measurement assembly by the subject, and to convert the one or more signals into output forces and/or moments, the one or more data processing devices further configured to predict one or more balance parameters of the subject using a trained neural network.
1. A force measurement system, comprising:
at least one camera, the at least one camera configured to capture one or more images of a scene that includes a subject;
a force measurement assembly configured to receive the subject, the force measurement assembly including:
a top surface for receiving at least one portion of the body of the subject; and
at least one force transducer, the at least one force transducer configured to sense one or more measured quantities and output one or more signals that are representative of forces and/or moments being applied to the top surface of the force measurement assembly by the subject; and
one or more data processing devices operatively coupled to the at least one camera and the force measurement assembly, the one or more data processing devices configured to receive the one or more signals that are representative of the forces and/or moments being applied to the top surface of the force measurement assembly by the subject, and to convert the one or more signals into output forces and/or moments, the one or more data processing devices further configured to predict one or more balance parameters of the subject by performing the following steps:
receiving the one or more images of the scene from the at least one camera;
extracting features from the one or more images of the scene for providing inputs to a trained neural network; and
determining the one or more balance parameters of the subject using the output of the trained neural network.
2. The force measurement system according to claim 1 , wherein the one or more data processing devices are further configured to provide feedback to the subject regarding his or her balance based upon the one or more predicted balance parameters of the subject determined using the trained neural network.
3. The force measurement system according to claim 1 , wherein the one or more balance parameters predicted by the one or more data processing devices using the trained neural network comprise at least one of: (i) a center of pressure, (ii) a center of mass, (iii) a center of gravity, (iv) a sway angle, and (v) a type of balance strategy.
4. The force measurement system according to claim 1 , wherein the at least one camera is part of a motion capture system, the motion capture system comprising a plurality of cameras, and the plurality of cameras of the motion capture system being operatively coupled to the one or more data processing devices.
5. The force measurement system according to claim 1 , wherein the one or more data processing devices are further configured to determine a plausibility of the pose of the subject on the force measurement assembly by using the trained neural network.
6. The force measurement system according to claim 1 , wherein the force measurement assembly is in the form of an instrumented treadmill.
7. The force measurement system according to claim 1 , wherein the force measurement assembly is in the form of a force plate or a balance plate.
8. The force measurement system according to claim 1 , further comprising a base assembly having a stationary portion and a displaceable portion, the force measurement assembly forming a part of the displaceable portion of the base assembly, and the force measurement system additionally comprising at least one actuator operatively coupled to the one or more data processing devices, the at least one actuator configured to displace the force measurement assembly relative to the stationary portion of the base assembly.
9. The force measurement system according to claim 8 , wherein the at least one actuator comprises a first actuator configured to rotate the force measurement assembly about a transverse rotational axis and a second actuator configured to translate the displaceable portion of the base assembly that includes the force measurement assembly.
10. The force measurement system according to claim 1 , further comprising at least one visual display device having an output screen, the at least one visual display device configured to display one or more display scenes on the output screen so that the one or more display scenes are viewable by the subject; and
wherein the one or more data processing devices are configured to dynamically adjust one or more visual elements in the one or more display scenes displayed on the output screen of the at least one visual display device based upon movement characteristics of the subject.
11. The force measurement system according to claim 1 , wherein the one or more data processing devices are further configured to quantify errors in one or more balance tasks performed by the subject on the force measurement assembly.
12. The force measurement system according to claim 11 , wherein the one or more balance tasks include dual tasks where the subject is standing on the force measurement assembly while simultaneously performing a task using his or her upper body.
13. The force measurement system according to claim 1 , wherein the output of the trained neural network comprises a three dimensional pose of the subject; and wherein the one or more data processing devices are configured to predict the one or more balance parameters of the subject by performing the following further steps:
generating one or more heatmaps using the trained neural network; and
applying a maximization function to the one or more heatmaps to obtain the three dimensional pose of the subject in the scene.
14. The force measurement system according to claim 13 , wherein the one or more heatmaps generated by using the trained neural network comprise one or more volumetric heatmaps.
15. A force measurement system, comprising:
at least one camera, the at least one camera configured to capture one or more images of a scene that includes a subject;
a force measurement assembly configured to receive the subject, the force measurement assembly including:
a top surface for receiving at least one portion of the body of the subject; and
at least one force transducer, the at least one force transducer configured to sense one or more measured quantities and output one or more signals that are representative of forces and/or moments being applied to the top surface of the force measurement assembly by the subject; and
one or more data processing devices operatively coupled to the at least one camera and the force measurement assembly, the one or more data processing devices configured to receive the one or more signals that are representative of the forces and/or moments being applied to the top surface of the force measurement assembly by the subject, and to convert the one or more signals into output forces and/or moments, the one or more data processing devices further configured to predict one or more performance parameters of the subject by performing the following steps:
receiving the one or more images of the scene from the at least one camera;
extracting features from the one or more images of the scene for providing inputs to a trained neural network; and
determining the one or more performance parameters of the subject using the output of the trained neural network.
16. The force measurement system according to claim 15 , wherein the output of the trained neural network comprises a three dimensional pose of the subject; and wherein the one or more data processing devices are configured to predict the one or more performance parameters of the subject by performing the following further steps:
generating one or more heatmaps using the trained neural network; and
applying a maximization function to the one or more heatmaps to obtain the three dimensional pose of the subject in the scene.
17. The force measurement system according to claim 16 , wherein the one or more heatmaps generated by using the trained neural network comprise one or more volumetric heatmaps.
18. The force measurement system according to claim 15 , wherein the one or more data processing devices are further configured to determine a plausibility of the pose of the subject on the force measurement assembly by using the trained neural network.