Systems and methods for generating complementary data for visual display

1. A system for generating complementary tracking data, the system comprising:

one or a plurality of wearable sensors configured to be disposed on a subject, wherein the wearable sensors are configured to collect and transmit tracking data;

a processor in communication with a memory that includes processor executable instructions, wherein the execution of the instructions cause the system to:

(a) receive tracking data from the one or the plurality of wearable sensors;

(b) map the tracking data onto a 3D model, wherein the 3D model is a virtual representation of an extent and a motion of the subject;

(c) identify an incomplete portion of the 3D model, the incomplete portion comprising a portion of the model not mapped to the tracking data;

(d) generate complementary tracking data to substitute for at least a portion of the incomplete portion; and (e) include the complementary tracking data in the 3D model, and

wherein the memory includes processor executable instructions that cause the system to access one or a series of prior 3D models, wherein the prior 3D models were previously communicated for display.

2. The system of claim 1 , wherein the complementary data is generated by comparing available tracking data to a key pose library.

3. The system of claim 1 , wherein tracking data is compared to blend spaces between two or more key poses in the key pose library.

4. The system of claim 3 , wherein tracking data is compared to key poses of the library of key poses to determine a strongest match.

5. The system of claim 4 , wherein the determination of a match weights similarities of joints and body parts closest to the incomplete portion more heavily than joints and body parts distant from the incomplete portion.

6. The system of claim 1 , wherein the complementary tracking data is generated by identifying a cluster of repetitive tracking data among a series of prior 3D models, matching tracking data to the cluster, and generating complementary data similar to the matched portion of the cluster.

7. The system of claim 1 , wherein the complementary tracking data is generated by identifying a cluster of repetitive tracking data among a series of prior 3D models, determining where available tracking data best fits in the cluster of repetitive tracking data, and generating complementary tracking data that mimics the cluster of repetitive tracking data.

8. The system of claim 1 , wherein the processor is configured to analyze the one or a series of prior 3D models for gesture triggers, wherein the identification of a gesture trigger causes the system to communicate a series of updated 3D models that are at least partially blended with a pre-recorded gesture animation.

9. The system of claim 1 , wherein complementary tracking data is generated with a FABRIK solver when tracking data for an end effector is available and with a cluster function or key pose match when tracking data for an end effector is unavailable.

10. A system for generating complementary tracking data, the system comprising a processor in communication with a memory that includes processor executable instructions, the instructions comprising:

a set of tracking data, wherein the tracking data relates to the position or motion of one or more parts of the user;

a 3D model, wherein the 3D model is a virtual representation of an extent and a motion of a user;

a library, wherein the library comprises a set of poses, gestures, or both;

a set of complementary tracking data, wherein the set of complementary tracking data comprises a least a portion of at least one selected pose or gesture from the library;

a combined model, the combined model comprising the set of tracking data and the set of complementary data, and

wherein the memory includes processor executable instructions that cause the system to access one or a series of prior 3D models, wherein the prior 3D models were previously communicated for display.

11. The system of claim 10 , wherein the complementary data is generated by a comparison of the set of tracking data to a key pose library.

12. The system of claim 11 , wherein the comparison comprises spaces between two or more key poses in the key pose library and the complementary data is generated to blend between those spaces.

13. The system of claim 10 , wherein complementary tracking data is generated with a FABRIK solver when tracking data for an end effector is available and with a cluster function or key pose match when tracking data for an end effector is unavailable.

14. A system for generating complementary data for a visual display, the system comprising:

(a) one or more electromagnetic emitters and one or more electromagnetic sensors configured to be selectively placed on one or more tracked body parts; and

(b) at least one processor in communication with a memory and with the visual display, the one or more electromagnetic emitters, and the one or more electromagnetic sensors and configured to receive tracking data from the one or more electromagnetic emitters and the one or more electromagnetic sensors, and to generate complementary display data comprising projected motion not within the tracking data and based upon a library of potential motions, and

wherein the memory includes processor executable instructions that cause the system to access one or a series of prior 3D models, wherein the prior 3D models were previously communicated for display.