The Parametric Human Project (PHP), founded by Autodesk Research, has started the BoneBot project to automate and expedite the high-resolution laser scanning of human bone samples. The data from these scans will be added to the PHP database to generate aggregate digital human models that support biomechanical simulation for biomedical and industrial research. Specific applications that will benefit from such models include surgery planning, rehabilitation, product design, and ergonomic safety.
Existing technologies for scanning the bones of human specimens are extremely time consuming, require constant human operation, and lack consistent and repeatable procedures for data acquisition. Moreover, human bone specimens are delicate, and thus direct handling and manipulation must be minimized to ensure the preservation of each bone’s integrity. The BoneBot project aims to facilitate the consistent and standardized capture of data through the design of handling devices and a protective fixture that can hold and protect bones of different sizes and shapes during the scanning process. By leveraging machine learning, the BoneBot will learn the movement paths required for the collection of complete and robust anatomical data. The BoneBot is being developed in collaboration with researchers at OCAD University, through funding awarded by the Natural Science and Engineering Research Council of Canada.
As an international research consortium, the PHP is working to create an advanced, data-driven, statistically-based digital atlas, and parametric model of the human anatomy to help users augment and accelerate the study of human abilities.