Biomechanics, Sensing and Bio-inspired Control in Rehabilitation and Wearable Robotics

Biomechanics, Sensing and Bio-inspired Control in Rehabilitation and Wearable Robotics
Author :
Publisher : Frontiers Media SA
Total Pages : 343
Release :
ISBN-10 : 9782832557280
ISBN-13 : 2832557287
Rating : 4/5 (287 Downloads)

Book Synopsis Biomechanics, Sensing and Bio-inspired Control in Rehabilitation and Wearable Robotics by : Wujing Cao

Download or read book Biomechanics, Sensing and Bio-inspired Control in Rehabilitation and Wearable Robotics written by Wujing Cao and published by Frontiers Media SA. This book was released on 2024-12-11 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on biomechanics, sensing, and bio-inspired control is vital for progressing rehabilitation and wearable robotics. Biomechanical simulation can provide the theoretical basis for device design and optimize the design and control scheme. The fusion of bio-signals, neural signals, and physical signals is helpful for accurate perception and recognition of human motion intention. Bio-inspired control is an important direction of individualized and efficient assistance of rehabilitation and wearable robotics. In recent years, with the development of biomedical and information technology, the equipment used for information acquisition has been updated from cumbersome and immobile devices to small and portable ones, making integration with rehabilitation and wearable robotics easier. Moreover, the performance of rehabilitation and wearable robotics can be quantified by changes in biomechanics and through the use of biosensors. The proposed Research Topic invites theoretical and experimental research dealing with novel techniques for quantifying biomechanics, sensing, and bio-inspired control in rehabilitation and wearable robotics. For example, the use of biologically inspired actuators no longer requires rigid supports, as the skeletal system can be used to that end; the application of synergies or motor primitives has led to a reduction in the number of actuators or to improve their control. The latest advances in modeling and simulation made it possible to assess and control fatigue or simulate using such devices outside of a clinical environment. These research achievements enable a new generation of rehabilitation and wearable robotics.


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