TY - GEN
T1 - A new pathway to approximate energy expenditure and recovery of an athlete
AU - Weigend, Fabian Clemens
AU - Siegler, Jason
AU - Obst, Oliver
N1 - Publisher Copyright:
© 2021 Owner/Author.
PY - 2021/7/7
Y1 - 2021/7/7
N2 - This work proposes to use evolutionary computation as a pathway to allow a new perspective on the modeling of energy expenditure and recovery of an individual athlete during exercise. We revisit a theoretical concept called the "three component hydraulic model"which is designed to simulate metabolic systems during exercise and which is able to address recently highlighted shortcomings of currently applied performance models. This hydraulic model has not been entirely validated on individual athletes because it depends on physiological measures that cannot be acquired in the required precision or quantity. This paper introduces a generalized interpretation and formalization of the three component hydraulic model that removes its ties to concrete metabolic measures and allows to use evolutionary computation to fit its parameters to an athlete.
AB - This work proposes to use evolutionary computation as a pathway to allow a new perspective on the modeling of energy expenditure and recovery of an individual athlete during exercise. We revisit a theoretical concept called the "three component hydraulic model"which is designed to simulate metabolic systems during exercise and which is able to address recently highlighted shortcomings of currently applied performance models. This hydraulic model has not been entirely validated on individual athletes because it depends on physiological measures that cannot be acquired in the required precision or quantity. This paper introduces a generalized interpretation and formalization of the three component hydraulic model that removes its ties to concrete metabolic measures and allows to use evolutionary computation to fit its parameters to an athlete.
KW - metabolic response modeling
KW - optimization
KW - performance modeling
UR - http://www.scopus.com/inward/record.url?scp=85111050724&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85111050724&partnerID=8YFLogxK
U2 - 10.1145/3449726.3459469
DO - 10.1145/3449726.3459469
M3 - Conference contribution
AN - SCOPUS:85111050724
T3 - GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion
SP - 325
EP - 326
BT - GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion
PB - Association for Computing Machinery, Inc
T2 - 2021 Genetic and Evolutionary Computation Conference, GECCO 2021
Y2 - 10 July 2021 through 14 July 2021
ER -