Predictive fit and recommendation tool for body-absorbent products
A predictive tool for selecting body-absorbent products like menstrual pads based on body measurements and product fit simulations. It aims to increase consumer satisfaction by recommending products that fit better across different body shapes and sizes.
Overview
This innovative solution offers a predictive tool designed to enhance the fit of body-absorbent products, such as menstrual pads, by analyzing the relationship between the human body and these products in various dynamic and static poses. The tool aims to improve consumer satisfaction by recommending products based on individual body measurements and fit simulations. The research highlights significant variations in body dimensions across different demographics, which impact product fit and consumer satisfaction.
Technical specifications
- 3D Body Scanning: Utilizes full-body 3D scanning technology to capture detailed body measurements in static and dynamic poses.
- Fit Prediction Model: Develops a simulation model to predict product fit by analyzing body-product interaction data and parametric body models.
- Recommendation Tool: Provides personalized product recommendations based on easy-to-measure body dimensions such as hip girth and crotch length.
- Validation Methods: Involves survey data from 276 participants and 3D body scans from 544 women, utilizing one-way ANOVA and post hoc analyses to validate fit correlations.
Technology readiness level
The project is currently at Technology Readiness Level 4, involving validation of fit models in a lab setting with plans for further controlled studies to enhance the prediction tool.
About Cornell University
Cornell University is a comprehensive private, land-grant research university with campuses in Ithaca and New York City, combining significant scale with cross-disciplinary breadth. Industry connects through open-access user facilities and prototyping labs, pilot-scale testbeds, and a research and technology park that provide pathways from discovery to demonstration. A statewide extension network and integration with a major hospital system enable real-world deployment, while a graduate campus embedded in New York City’s tech corridor provides direct access to startups, venture investors, and corporate R&D teams. Research is supported by competitive federal funding from agencies such as the National Science Foundation, National Institutes of Health, the Department of Energy, and the U.S. Department of Agriculture. A dedicated technology transfer office streamlines IP management, licensing, startup formation, and corporate partnerships across campuses.
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