The invention relates to a first computer implemented method for automatically generating a first 3D garment model representing a first garment to be fabricated from first garment panels, a second computer implemented method for virtually finishing a second 3D garment model representing a second garment to be fabricated without finishes or with default finishes, and a third computer implemented method for automatically generating a plurality of third 3D garment models in a batch process, each third 3D garment model representing a third garment to be fabricated from third garment panels.

The invention relates to a first computer implemented method for automatically generating a first 3D garment model representing a first garment to be fabricated from first garment panels, a second computer implemented method for virtually finishing a second 3D garment model representing a second garment to be fabricated without finishes or with default finishes, and a third computer implemented method for automatically generating a plurality of third 3D garment models in a batch process, each third 3D garment model representing a third garment to be fabricated from third garment panels.

A tool to position accouterments on a uniform includes a component having at least one opening extending through the component. The opening can receive an accouterment to be placed on a uniform. The tool has one or more reference indicators indicated around the opening on at least one side. The accouterment can be placed in the opening and then appropriately positioned using the reference indicators. The tool can also have a grid that can be used to place accouterments on the uniform with respect to both horizontal and vertical positions.

Techniques for extraction of body parameters, dimensions and shape of a customer are presented herein. A model descriptive of a garment, a corresponding calibration factor and reference garment shapes can be assessed. A garment shape corresponding to the three-dimensional model can be selected from the reference garment shapes based on a comparison of the three-dimensional model with the reference garment shapes. A reference feature from the plurality of reference features may be associated with the model feature. A measurement of the reference feature may be calculated based on the association and the calibration factor. The computed measurement can be stored in a body profile associated with a user. An avatar can be generated for the user based on the body profile and be used to show or indicate fit of a garment, as well as make fit and size recommendations.

Techniques for extraction of body parameters, dimensions and shape of a customer are presented herein. A model descriptive of a garment, a corresponding calibration factor and reference garment shapes can be assessed. A garment shape corresponding to the three-dimensional model can be selected from the reference garment shapes based on a comparison of the three-dimensional model with the reference garment shapes. A reference feature from the plurality of reference features may be associated with the model feature. A measurement of the reference feature may be calculated based on the association and the calibration factor. The computed measurement can be stored in a body profile associated with a user. An avatar can be generated for the user based on the body profile and be used to show or indicate fit of a garment, as well as make fit and size recommendations.

Analyzing a prosthetic torso with synthetic skin and breast tissue includes monitoring a movement of a prosthetic torso with a sensor, and determining, based on data from the sensor, a viscoelastic characteristic of the prosthetic torso. The movement can include at least one of a jumping motion, a walking motion, or a running motion.

Disclosed are methods and systems for generating a customized garment design. The method, when executed by a processor, comprises first retrieving a user signal about a user, identifying a user style comprising at least a preferred garment category for the user by analyzing the user signal, and retrieving a group of features for the preferred garment category, where each of the features is associated with at least one style variable. The method further comprises identifying at least one preferred style value for each of the style variables based on the user signal, generating one or more candidate garment feature sets by selecting one or more combinations of preferred style values for each style variable, and generating the customized garment design by selecting a garment feature set from the one or more candidate garment feature sets.

Disclosed are methods and systems for generating a customized garment design. The method, when executed by a processor, comprises first retrieving a user signal about a user, identifying a user style comprising at least a preferred garment category for the user by analyzing the user signal, and retrieving a group of features for the preferred garment category, where each of the features is associated with at least one style variable. The method further comprises identifying at least one preferred style value for each of the style variables based on the user signal, generating one or more candidate garment feature sets by selecting one or more combinations of preferred style values for each style variable, and generating the customized garment design by selecting a garment feature set from the one or more candidate garment feature sets.

The present disclosure includes methods and systems to generate compression garment fit information from 3D images taken of one or more body parts of a patient indicated for application of compression therapy. The body parts can include legs or arms or other areas. Three-dimensional (3D) imaging information can be used to derive compression garment fit information, where the shape description information includes for each body part: tissue compressibility information, outer circumference information, and length information. Comparisons between corresponding body parts on a person can also be conducted.

The present disclosure includes methods and systems to generate compression garment fit information from 3D images taken of one or more body parts of a patient indicated for application of compression therapy. The body parts can include legs or arms or other areas. Three-dimensional (3D) imaging information can be used to derive compression garment fit information, where the shape description information includes for each body part: tissue compressibility information, outer circumference information, and length information. Comparisons between corresponding body parts on a person can also be conducted.