The Pennsylvania State University, University Park, PA.
University of California at San Diego, La Jolla, CA.
Exerc Sport Sci Rev. 2020 Oct;48(4):170-179. doi: 10.1249/JES.0000000000000232.
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.
身体活动是动态的、复杂的，并且通常具有个体特异性。在本文中，我们回顾了控制系统工程中使用的技术如何被应用于完善身体活动理论和干预措施。我们假设基于系统辨识和模型预测控制的个性化自适应行为干预措施将比更通用的常规干预方法更能促进身体活动。
