A System for Measuring Body Kinetics includes a wearable device configured to be wrapped around a joint. A microprocessor is attached to the wearable device. One or more Inertial Measurement Units (IMUs) are connected to the microprocessor and arranged on the wearable device. The IMUs are arranged and configured to provide kinetic data concerning the joint to the microprocessor. A wireless transmission component is connected to the microprocessor. The microprocessor is configured to receive kinetic data from the IMUs, and to transmit the kinetic data by way of the wireless transmission component to a central processor or other device. An algorithm resides within the microprocessor or the central processor or other device, and is configured to determine the position of each IMU from the kinetic data. The wearable device may be constructed of fabric, strap, adhesive tape, or a combination thereof.

A system comprising a scanner to scan the airman or soldier (subject), a processor to receive, from the scanner, a non-manifold three-dimensional (3D) digital surface model (DSM) scan data representative of the subject, and a computer-aided manufacturing (CAM) device. The processor recognizes anatomical features on the 3D surface model including the cephalic (head) region of the scanned subject; stores each sub region defined by anatomical features as a non-manifold 3D surface model; creates a surface offset from the DSM sub region; creates a closed volume within and between the DSM sub region and the offset surface representative of a solid 3D pilot flight equipment; and causes a computer-aided manufacturing (CAM) device to manufacture the solid 3D pilot flight equipment.

A system comprising a scanner to scan the airman or soldier (subject), a processor to receive, from the scanner, a non-manifold three-dimensional (3D) digital surface model (DSM) scan data representative of the subject, and a computer-aided manufacturing (CAM) device. The processor recognizes anatomical features on the 3D surface model including the cephalic (head) region of the scanned subject; stores each sub region defined by anatomical features as a non-manifold 3D surface model; creates a surface offset from the DSM sub region; creates a closed volume within and between the DSM sub region and the offset surface representative of a solid 3D pilot flight equipment; and causes a computer-aided manufacturing (CAM) device to manufacture the solid 3D pilot flight equipment.

Disclosed are systems and methods for full body measurements extraction using a mobile device camera. The method includes the steps of receiving one or more user parameters; receiving at least one image containing the human and a background; identifying one or more body features associated with the human; performing body feature annotation on the identified body features for generating an annotation line on each body feature corresponding to a body feature measurement, the body feature annotation utilizing an annotation deep-learning network that has been trained on annotation training data, the annotation training data comprising one or more images for one or more sample body features and an annotation line for each body feature; generating body feature measurements from the one or more annotated body features utilizing a sizing machine-learning module based on the annotated body features and the one or more user parameters; and generating body size measurements by aggregating the body feature measurements for each body feature.

Disclosed are systems and methods for full body measurements extraction using a mobile device camera. The method includes the steps of receiving one or more user parameters; receiving at least one image containing the human and a background; identifying one or more body features associated with the human; performing body feature annotation on the identified body features for generating an annotation line on each body feature corresponding to a body feature measurement, the body feature annotation utilizing an annotation deep-learning network that has been trained on annotation training data, the annotation training data comprising one or more images for one or more sample body features and an annotation line for each body feature; generating body feature measurements from the one or more annotated body features utilizing a sizing machine-learning module based on the annotated body features and the one or more user parameters; and generating body size measurements by aggregating the body feature measurements for each body feature.

A system comprising a machine-readable storage medium storing at least one program and a computer-implemented method for collecting body measurements of a human user using a body measurement garment is provided. The body measurement garment comprises a plurality of sensors configured to produce a set of output data. The method may include receiving the set of output data from the body measurement garment and determining a plurality of body measurements from the output data. The method may further include generating a body shape model representing the shape of the body of the user. The method may also include generating a garment fit model representing the fit of a garment on the human user.

A system comprising a machine-readable storage medium storing at least one program and a computer-implemented method for collecting body measurements of a human user using a body measurement garment is provided. The body measurement garment comprises a plurality of sensors configured to produce a set of output data. The method may include receiving the set of output data from the body measurement garment and determining a plurality of body measurements from the output data. The method may further include generating a body shape model representing the shape of the body of the user. The method may also include generating a garment fit model representing the fit of a garment on the human user.

A kit to facilitate identifying at least one glove particularly suitable to be worn by a particular individual includes a backdrop having at least two visually-discernible calibration marks disposed thereon, a camera, a memory having stored therein characterizing parameters for a variety of different gloves, and a control circuit that operably couples to the latter. The control circuit presents to a kit user via a display an image of the particular individual's hand as placed on the backdrop, and then presents a plurality of user-placeable markers by which the kit user marks particular locations of the particular individual's hand. The control circuit then processes the image of the particular individual's hand as marked by the kit user and as a function of the two visually-discernible calibration marks to identify at least one glove that is particularly suitable to be worn by the particular individual.

A kit to facilitate identifying at least one glove particularly suitable to be worn by a particular individual includes a backdrop having at least two visually-discernible calibration marks disposed thereon, a camera, a memory having stored therein characterizing parameters for a variety of different gloves, and a control circuit that operably couples to the latter. The control circuit presents to a kit user via a display an image of the particular individual's hand as placed on the backdrop, and then presents a plurality of user-placeable markers by which the kit user marks particular locations of the particular individual's hand. The control circuit then processes the image of the particular individual's hand as marked by the kit user and as a function of the two visually-discernible calibration marks to identify at least one glove that is particularly suitable to be worn by the particular individual.

In a body size measuring device for customized underwear production and a system therefor, for a customer who desires customized underwear production, a 3D body shape of the customer is generated using a 3D scanner, points required for the customized underwear production is selected from among all points forming the 3D body shape, thereby calculating coordinate data values and the like of the selected points, and the customer's body size information is more accurately calculated on the basis of the coordinate data values of the respective points. As a result, it is possible to produce underwear that fits the customer's body more comfortably than commercially available underwear produced by manufactures in a standardized manner, thereby contributing to increased customer satisfaction.