School of Physical Education and Sports, Beijing Normal University, Beijing 100875, China.
Business School, Beijing Normal University, Beijing 100875, China.
Sensors (Basel). 2021 Jan 19;21(2):647. doi: 10.3390/s21020647.
Deep squat, bench press and hard pull are important ways for people to improve their strength. The use of sensors to measure force is rare. Measuring strength with sensors is extremely valuable for people to master the intensity of exercise to scientifically effective exercise. To this end, in this paper, we used a real-time wireless motion capture and mechanical evaluation system of the wearable sensor to measure the dynamic characteristics of 30 young men performing deep squat, bench press and hard pull maneuvers. The data of tibia were simulated with AnyBody 5.2 and ANSYS 19.2 to verify the authenticity. The result demonstrated that the appropriate force of the deep squat elbow joint, the hip joint and the knee joint is 40% 1RM, the appropriate force of the bench press is 40% 1RM and the appropriate force of the hard pull is 80% 1RM. The external force is the main factor of bone change. The mechanical characteristics of knee joint can be simulated after the Finite Element Analysis and the simulation of AnyBody model are verified.
深蹲、卧推和硬拉是人们提高力量的重要方式。使用传感器来测量力量的情况很少见。使用传感器测量力量对于人们掌握运动强度、进行科学有效的锻炼非常有价值。为此，在本文中，我们使用实时无线运动捕捉和可穿戴传感器的机械评估系统来测量 30 名年轻男性进行深蹲、卧推和硬拉动作的动态特征。使用 AnyBody 5.2 和 ANSYS 19.2 模拟胫骨数据以验证真实性。结果表明，深蹲时肘关节、髋关节和膝关节的适宜力量为 1RM 的 40%，卧推时的适宜力量为 1RM 的 40%，硬拉时的适宜力量为 1RM 的 80%。外力是骨骼变化的主要因素。通过验证有限元分析和 AnyBody 模型的模拟，可以模拟膝关节的力学特性。
