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Background: Seating comfort is one of the most important indicators of the performance of automotive seats. Seat is one of the places in the vehicle where most of the drivers spent driving. A good seat can prevent a lot of painful disorders including low back pain, which is typical of bad posture. Driver posture is one of the most important issues that need to be considered in the vehicle seat design process. Research Gap: Around the world, there have been many studies on seating comfort including car seats, truck seats, bus seats, train seats, etc. However, in India there are not many studies focusing on bus drivers seating comfort. Objective: This study aimed at investigating bus drivers seating comfort in private transportation using virtual ergonomics. Methods: We have considered a group of male bus drivers with different percentiles. And, we have selected a bus seat typically used in private transportation. The anthropometry of drivers and dimensions of the seat has been measured and modelled in the virtual environment (CATIA V6). For the seating comfort analysis, RULA (Rapid Upper Limb Assessment) analysis was performed. Results and Discussion: The RULA score revealed that the drivers with 77th to 94th percentile felt comfortable with the seat. The rest had higher RULA scores and felt discomfort. Conclusion: The bus seat design needs to be changed by considering Indian anthropometry. Also, this study only examined a few subjects; hence, further investigation would give better recommendations. Application: The benefit of virtual ergonomics is used in this project. The methodology used in this study could be used for other seat studies.

With the introduction of smartphones, the frequency of usage gradually increased when compared with keypad phones. The statistics show that the number of smartphone users in India alone increased from 200 million to 400 million in 2015-2019. In general, most of the young adults spend an average of 3 to 4 hours daily. The extensive usage of a smartphone causes various disorders, including cervical/neck pain, shoulder pain. The objective is to measure and correlate the relationship between muscle fatigue and the head flexion angle. Also, to analyze the posture using RULA analysis. By utilizing both subjective evaluations through web-based survey and objective evaluation by using both mechanical sensors such as Gyroscope for neck angle measurement and biomedical sensors such as EMG sensor for muscle activity for 14 subjects of age 17 to 26. Head posture, including flexion angle, will be measured, and muscle activity will be observed while using a smartphone in a sitting posture for 1 hour. Expected to understand the correlation between head angle and muscle fatigue while using a smartphone.