Affiliation:
1. Advanced Mechatronics Research Group, Daegyeong Division, Korea Institute of Industrial Technology, Daegu 42994, Republic of Korea
2. School of Electronics Engineering, Kyungpook National University, Daegu 41566, Republic of Korea
3. Research Center for Neurosurgical Robotic System, Daegu 41566, Republic of Korea
Abstract
Trampolines are recognized as a valuable tool in exercise and rehabilitation due to their unique properties like elasticity, rebound force, low-impact exercise, and enhancement of posture, balance, and cardiopulmonary function. To quantitatively assess the effects of trampoline exercises, it is essential to estimate factors such as stiffness, elements influencing jump dynamics, and user safety. Previous studies assessing trampoline characteristics had limitations in performing repetitive experiments at various locations on the trampoline. Therefore, this research introduces a robotic system equipped with foot-shaped jigs to evaluate trampoline stiffness and quantitatively measure exercise effects. This system, through automated, repetitive movements at various locations on the trampoline, accurately measures the elastic coefficient and vertical forces. The robot maneuvers based on the coordinates of the trampoline, as determined by its torque and position sensors. The force sensor measures data related to the force exerted, along with the vertical force data at X, Y, and Z coordinates. The model’s accuracy was evaluated using linear regression based on Hooke’s Law, with Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Correlation Coefficient Squared (R-squared) metrics. In the analysis including only the distance between X and the foot-shaped jigs, the average MAE, RMSE, and R-squared values were 17.9702, 21.7226, and 0.9840, respectively. Notably, expanding the model to include distances in X, Y, and between the foot-shaped jigs resulted in a decrease in MAE to 15.7347, RMSE to 18.8226, and an increase in R-squared to 0.9854. The integrated model, including distances in X, Y, and between the foot-shaped jigs, showed improved predictive capability with lower MAE and RMSE and higher R-squared, indicating its effectiveness in more accurately predicting trampoline dynamics, vital in fitness and rehabilitation fields.
Funder
the Korea Medical Device Development Fund grant funded by the Korea government
the Korea Institute of Industrial Technology
National Research Foundation of Korea
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference26 articles.
1. Trampoline versus resistance training in young adults: Effects on knee muscles strength and balance;Tay;Res. Q. Exerc. Sport,2019
2. Distinct effects of trampoline-based stretch-shortening cycle exercises on muscle strength and postural control in children with Down syndrome: A randomized controlled study;Azab;Eur. Rev. Med. Pharmacol. Sci.,2022
3. Effects of Weight-bearing Exercise on a Mini-trampoline, and Foot-ankle Therapeutic Exercise Program on Foot-ankle Functionality in People with Diabetic Peripheral Neuropathy;Ansari;Phys. Treat.,2022
4. Investigating the Effect of Bouncing Type on the Physiological Demands of Trampolining;Clement;Eur. J. Sport Sci.,2021
5. Effects of a mini-trampoline rebounding exercise program on functional parameters, body composition and quality of life in overweight women;Cugusi;J. Sports Med. Phys. Fitness,2018