Abstract
Assessing the performance of exoskeletons in assisting human balance is important for their design process. This study proposes a novel testbed, the B.E.A.T (Balance Evaluation Automated Testbed) to address this aim. We applied the B.E.A.T to evaluate how the presence of a lower limb exoskeleton influenced human balance. The B.E.A.T. consists of a robotic platform, standardized protocols, and performance indicators. Fifteen healthy subjects were enrolled and subjected to repeatable step-type ground perturbations in different directions using the multi-axis robotic platform. Each participant performed three trials, both with and without the exoskeleton (EXO and No-EXO conditions). Nine performance indicators, divided into kinematic and body stability indicators, were computed. The reliability of performance indicators was assessed by computing the Inter Class Correlation (ICC). The indicators showed good (0.60 ≤ ICC < 0.75) to excellent (ICC ≥ 0.75) reliability. The comparison between the EXO and No-EXO conditions revealed a significant increase in the joint range of motion and the center of pressure displacement while wearing the exoskeleton. The main differences between the EXO and No-EXO conditions were found in the range of motion of the knee joints, with an increment up to 17° in the sagittal plane.
Subject
Artificial Intelligence,Control and Optimization,Mechanical Engineering
Reference45 articles.
1. Lower Extremity Exoskeletons and Active Orthoses: Challenges and State-of-the-Art;Dollar;IEEE Trans. Robot.,2008
2. Cardona, M., Destarac, M., and Cena, C.G. (2020). Exoskeleton Robots for Rehabilitation and Healthcare Devices, Springer. SpringerBriefs in Applied Sciences and Technology.
3. A Review on Lower Limb Rehabilitation Exoskeleton Robots;Shi;Chin. J. Mech. Eng.,2019
4. A Review on Compliant Joint Mechanisms for Lower Limb Exoskeletons;J. Robot.,2016
5. Benchmarking Wearable Robots: Challenges and Recommendations from Functional, User Experience, and Methodological Perspectives;Torricelli;Front. Robot. AI,2020
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献