TY - JOUR
T1 - Engineering person-specific behavioral interventions to promote physical activity
AU - Conroy, David E.
AU - Lagoa, Constantino M.
AU - Hekler, Eric
AU - Rivera, Daniel E.
N1 - Funding Information:
Research reported in this publication was supported by the National Heart Lung and Blood Institute and the National Library of Medicine of the National Institutes of Health under award numbers R01 HL142732 and R01 LM013107, and by the National Science Foundation (grants ECCS1808266 and IIS1449751).
Publisher Copyright:
© Lippincott Williams and Wilkins.
PY - 2020/10/1
Y1 - 2020/10/1
N2 - Physical activity is dynamic, complex, and often regulated idiosyncratically. In this article, we review how techniques used in control systems engineering are being applied to refine physical activity theory and interventions. We hypothesize that person-specific adaptive behavioral interventions grounded in system identification and model predictive control will lead to greater physical activity than more generic, conventional intervention approaches.
AB - Physical activity is dynamic, complex, and often regulated idiosyncratically. In this article, we review how techniques used in control systems engineering are being applied to refine physical activity theory and interventions. We hypothesize that person-specific adaptive behavioral interventions grounded in system identification and model predictive control will lead to greater physical activity than more generic, conventional intervention approaches.
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U2 - 10.1249/JES.0000000000000232
DO - 10.1249/JES.0000000000000232
M3 - Article
C2 - 32658043
AN - SCOPUS:85091125688
SN - 0091-6331
VL - 48
SP - 170
EP - 179
JO - Exercise and Sport Sciences Reviews
JF - Exercise and Sport Sciences Reviews
IS - 4
ER -