数学
理论(学习稳定性)
参照物
控制理论(社会学)
歧管(流体力学)
稳定性判据
运动(音乐)
计算机科学
数学优化
人工智能
控制(管理)
统计
机器学习
美学
机械工程
哲学
语言学
离散时间和连续时间
工程类
出处
期刊:Motor Control
[Human Kinetics]
日期:2022-03-12
卷期号:27 (1): 123-159
被引量:40
摘要
This review of movement stability, optimality, and agility is based on the theory of motor control with changes in spatial referent coordinates for the effectors, the principle of abundance, and the uncontrolled manifold hypothesis. A new optimality principle is suggested based on the concept of optimal sharing corresponding to a vector in the space of elemental variables locally orthogonal to the uncontrolled manifold. Motion along this direction is associated with minimal components along the relatively unstable directions within the uncontrolled manifold leading to a minimal motor equivalent motion. For well-practiced actions, this task-specific criterion is followed in spaces of referent coordinates. Consequences of the suggested framework include trade-offs among stability, optimality, and agility, unintentional changes in performance, hand dominance, finger specialization, individual traits in performance, and movement disorders in neurological patients.
科研通智能强力驱动
Strongly Powered by AbleSci AI