1. A method for providing feedback, the method comprising: capturing a depth image; identifying data in the depth image representative of a target's motion or position in a physical space; comparing the identified data to a plurality of gesture filters, wherein each of said plurality of gesture filters comprises one or more parameters defining a gesture along with associated thresholds and ranges for said one or more parameters; identifying a confidence rating output for each of the comparisons to the plurality of gesture filters, wherein each of the plurality of confidence rating outputs indicates a likelihood that the identified data corresponds to a gesture of a respective gesture filter; in response to determining that no confidence rating output is above a threshold level of acceptance, predicting an intended gesture based on a comparison of the confidence rating outputs for identified data of failed executions of gestures; determining that a variation between the identified data for a failed execution of a gesture and the one or more filter parameters for the intended gesture is below a threshold level; and rendering feedback on a display, the feedback comprising a visual representation of the target's motion or position and an example of a correct performance of the intended gesture for which the variation is below the threshold level.
1. A method for providing feedback, the method comprising: capturing a depth image; identifying data in the depth image representative of a target's motion or position in a physical space; comparing the identified data to a plurality of gesture filters, wherein each of said plurality of gesture filters comprises one or more parameters defining a gesture along with associated thresholds and ranges for said one or more parameters; identifying a confidence rating output for each of the comparisons to the plurality of gesture filters, wherein each of the plurality of confidence rating outputs indicates a likelihood that the identified data corresponds to a gesture of a respective gesture filter; in response to determining that no confidence rating output is above a threshold level of acceptance, predicting an intended gesture based on a comparison of the confidence rating outputs for identified data of failed executions of gestures; determining that a variation between the identified data for a failed execution of a gesture and the one or more filter parameters for the intended gesture is below a threshold level; and rendering feedback on a display, the feedback comprising a visual representation of the target's motion or position and an example of a correct performance of the intended gesture for which the variation is below the threshold level. 4. The method in accordance with claim 1 , further comprising: predicting an intended gesture from the identified data; and wherein rendering feedback comprises: rendering feedback applicable to the predicted intended gesture.