From: A survey of mathematical models of human performance using power and energy
Themes | Research opportunities and applications |
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Groups versus individuals | Models derived from the data pertaining to a group of individuals may not accurately model performance of athletes outside the group, thus, suggesting a need for individual specific models [87]. |
Influence of mathematical modeling on W′ | Understanding of W′ is still ambiguous as it is dependent on the model used [34, 55,56,57, 59,60,61]. Quantifying the natural day-to-day/trial-to-trial variability within subjects, i.e., IIV, may yield a better understanding of W′. |
Natural variability within an individual | Methods need to be developed to quantify the IIV associated with physiological parameters, which will be useful in measuring training effectiveness, developing higher fidelity models, and optimizing performance. |
Recovery of W′ | Current models described in [83,84,85,86,87,88] need refinement and improvement. A robust model for recovery of W′ is needed, which could be athlete-specific. The W′ balance can potentially be correlated to fatigue related injuries and the risk of injury could be estimated. |
Performance optimization | The recovery model in conjunction with the two-parameter model enables optimization of time-trial performance as illustrated in [95, 100] and illustrated in [91, 92]. |
Wearable sensor integration | Wearable sensors provide opportunities in real-time performance tracking, optimization, and methods to reduce the reliance on laboratory equipment. Similar to studies in [101, 102], commercially available sensors could be validated against laboratory equipment and used in the field for developing higher fidelity models. |
Integration of individual performance modeling into team performance | Athlete-specific models could be used in determining team strategies, training interventions, planning training needs, and team selection as illustrated in [91, 97]. |
Physical exertion and health | Models of human performance could be used to gain insight into the effect of physical exertion on overall health and well-being as discussed in [16, 17]. |