| CPC A63B 24/0006 (2013.01) [G06F 17/18 (2013.01); G06N 3/045 (2023.01)] | 20 Claims |
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1. A method, comprising:
creating a neural network architecture;
training the neural network architecture at least in part with performance information associated with a previous repetition of an exercise movement;
predicting performance of one or more upcoming repetitions based at least in part on the performance information associated with the previous repetition of the exercise movement by labeling the one or more upcoming repetitions using the neural network architecture based at least in part on features of a current repetition;
performing a failure classification, wherein performing the failure classification comprises determining whether the one or more upcoming repetitions is associated with an occurrence of physical failure based at least in part on the predicted performance of the one or more upcoming repetitions of the exercise movement, wherein physical failure comprises when a current user demonstrates significantly degraded performance, and wherein upcoming repetitions comprise future repetitions; and
determining a number of repetitions in reserve based at least in part on the failure classification, wherein the number of repetitions in reserve comprise the number of repetitions the current user may perform before physical failure.
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