Mattress Selection Using Body Imaging and Sleep Habit Analysis

The patent replaces the mechanical test bed system with a digital imaging and analysis system. Instead of requiring customers to physically lie on a mechanical test bed, the system uses digital cameras to capture images of customers standing on a platform, then processes these images to determine body characteristics and recommend appropriate mattresses. This substitution eliminates the inconvenience of physical testing while maintaining assessment accuracy.

The patent creates a digital copy of the customer's body characteristics through image capture and analysis. Rather than requiring direct physical interaction with a test bed, the system captures visual data of the customer's body and uses image processing algorithms to extract relevant measurements and characteristics, thereby recommending suitable mattresses without physical testing.

The patent changes the parameters used for mattress selection from generic categories to specific body characteristics extracted from digital images. The system analyzes image data to determine precise measurements such as body mass index, body shape, and proportions, then uses these parameterized characteristics to recommend mattresses with specific support and firmness properties tailored to each customer's unique physique and preferences.

The patent performs preliminary analysis of customer body characteristics through digital imaging before the actual mattress selection process. By capturing and analyzing images in advance, the system pre-determines key body parameters and sleeping preferences, allowing for personalized mattress recommendations to be generated quickly and accurately without requiring complex real-time assessments during the selection process.