An Adaptive Neural-Fuzzy Inference System for Prediction of Muscle Strength of Farmers in India: An Approach for E-Healthcare 4.0 Prevention and Analysis

Introduction

The grip strength of hand is very important and essential in the daily lives. The strength of muscles for the peoples engaged in farming are most considerably used and of essential significance for working diverse equipment and gadget in agricultural activities. A static strength database of capability and constraints of farmers necessitates helping in the design of agricultural tools and equipment. Such that the design & force requirements for different farming activities can be matched with the job demand & capability of farmers, and also the acceptability of tools and equipment will be more increasing the overall performance. The ordinary techniques for cultivating results in physical issues like lungs issue because of introduction to residue, and musculoskeletal issue. Additionally, outrageous climate conditions, and substantial remaining tasks at hand give them early seniority, bones & muscles issues. As a result to achieve better effectiveness of execution in addition to improve profitability of the overall farmers in the rural areas, it is a basic requirement to plan the tools and equipment by considering the farmers’ capacity and breaking points. The configuration of tools & equipment ought to have the option to give increasingly human solace, good quality, more yield focused and ready to decrease the musculoskeletal injury reducing ability. While designing the equipment the operator’s biological needs are taken into consideration. The muscular strength of farmers is most considerably used in most of the agricultural activities. Therefore to help in the design of agricultural tools & equipment, there is a need to build up a database of static quality abilities and constraints of farmers. Such that the design & force requirements for different farming activities can be matched with the job demand & capability of farmers by enhancing their overall performance. Muscle strength has been revealed to be essential for physically execution of work (Brill et al., 2000) and fitness (Bohannon, 2008; Ortega et al., 2008). Mishra et al. (2018a) have suggested to improve the tool and equipment designs, and to improve the layout of workplaces in addition to the work practices, for infeasibility in the cases of eliminating the recurrence of work. The design process is greatly influenced and augmented by the measurement of physical characteristics. Moreover, the use of sensors for the measurement process provides quick and accurate information. The Jamar dynamometer has been suggested as the gold-standard for measuring grip strength of hand (Fess, 1992). Different studies have been carried out to examine which position of Jamar dynamometer (Firrell and Crain, 1996; Trampisch et al., 2012) and grip span for obtaining maximum grip strength of hand (Espana-Romero et al., 2008; Ruiz et al., 2002; Ruiz et al., 2006) in selected populations.