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Use of safety belts inside a vehicle is necessary to ensure the safety of passengers as well as drivers. To promote the use of seat belts, a seatbelt reminder system is utilized. This system incorporates a sensor for checking seat occupancy for the passenger seat. Activation of these sensors depends on various parameters like seat pad shape, seat upholstery, vehicle H-point, a load on the seat, etc. In this study, the load factor on the seat is studied. The load on the seat may come from occupants or due to the objects placed on the seat. The detection of objects as an occupant may result in false seat belt reminder alarm and cause inconvenience to the customers. Subjective analysis and surveys, covering a broad range of market population, were done to identify such objects. Consequently, performance requirements were determined to facilitate sensor optimization and selection.