Computational modelling of musculoskeletal to predict the human response with exoskeleton suit Online publication date: Tue, 14-Jul-2020
by Govinda Anantha Padmanabha; Shravan Tata Ramalingasetty; Boobalan Vetrivel; Indrajit Mukherjee; S.N. Omkar; R. Sivakumar
International Journal of Biomechatronics and Biomedical Robotics (IJBBR), Vol. 3, No. 4, 2020
Abstract: Wearable exoskeleton is an assistive device for humans to carry heavy loads over long distance. The main aim of the study is to analyse the effect of an exoskeleton on human body during stand to sit motion, the study is accomplished by the use of a biomechanical analysis software called LifeMOD®. In this work, the activations of biceps femoris, rectus femorus and tensor fasclae latae (TLF) have been studied. The muscle activations during stand to sit with exoskeleton is found to be lesser than normal human movement, resulting in reduced expenditure of human energy. The results are helpful in training the control algorithms that are dependent on muscle activations measured by surface electromyography and to establish a framework for the study of behaviour of muscle activation while performing various activities driven by wearable exoskeleton.
Online publication date: Tue, 14-Jul-2020
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