Abstract
Due to the nature of current lifestyles, many people find themselves sitting for prolonged periods of time. Combined with an improper body posture, this leads to a rise in health issues. The most common ones consist of headaches and pain in the back and neck area. Other issues that may occur are changes to the spine and digestive problems, as well as anxiety and depression, which could result in declined productivity. The purpose of this study is to determine which of the available solutions is the most effective in improving the body posture while in a seated position by considering multiple aspects, such as the discrete characteristics of the solutions analyzed and the characteristics related to the manufacturability of products including the analyzed detection solution. This study considers specific criteria related to the manufacturing and behavior of systems to detect body posture in a seated position, such as invasiveness, accuracy, portability, reliability, manufacturability, privacy, and scalability. The main analysis methods involved in this study are AHP to determine the individual weights of the previously mentioned criteria, and PUGH to determine the optimal solution, taking into consideration the resulting weight of each criterion. Using the AHP method and comparing the criteria, we were able to set a priority order for the criteria. The next step consisted of constructing a PUGH matrix. This matrix is used to find out which of the available solutions is optimal based on the imposed criteria, while taking into consideration the weights resulting from the AHP method.
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
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