Abstract: Disclosed is a platform for generating and delivering 3-D printed wearables. The platform includes scanning, image processing, machine learning, computer vision, and user input to generate a printed wearable. Scanning occurs in a number of ways across a number of devices. The variability of scanning generates a number of scanning output types. Outputs from the scanning process are normalized into a single type during image processing. The computer vision and machine learning portions of the platform use the normalized body scan to develop models that may be used by a 3D printer to generate a wearable customized to the user. The platform further provides opportunities for the user to check the work of the scanning, image processing, computer vision, and machine learning. The user input enables the platform to improve and inform the machine learning aspects.

Abstract: Disclosed is a platform for generating and delivering 3-D printed wearables. The platform includes scanning, image processing, machine learning, computer vision, and user input to generate a printed wearable. Scanning occurs in a number of ways across a number of devices. The variability of scanning generates a number of scanning output types. Outputs from the scanning process are normalized into a single type during image processing. The computer vision and machine learning portions of the platform use the normalized body scan to develop models that may be used by a 3D printer to generate a wearable customized to the user. The platform further provides opportunities for the user to check the work of the scanning, image processing, computer vision, and machine learning. The user input enables the platform to improve and inform the machine learning aspects.

Abstract: The disclosed technique relates to an insert for footwear and to a composite orthotic insole comprising said insert, wherein the insert is embedded with a plurality of force (or pressure) sensors, and may be used to provide feedback on important information regarding the wearer's gait biomechanics. The layer of sensors may be used to assist in monitoring the wearer's health via foot pressure tracking. The insole can use a relative large number of sensors, which together provide broad coverage of the human foot impact area.

Abstract: Disclosed is a platform for generating and delivering 3-D printed wearables. The platform includes scanning, image processing, machine learning, computer vision, and user input to generate a printed wearable. Scanning occurs in a number of ways across a number of devices. The variability of scanning generates a number of scanning output types. Outputs from the scanning process are normalized into a single type during image processing. The computer vision and machine learning portions of the platform use the normalized body scan to develop models that may be used by a 3D printer to generate a wearable customized to the user. The platform further provides opportunities for the user to check the work of the scanning, image processing, computer vision, and machine learning. The user input enables the platform to improve and inform the machine learning aspects.

Abstract: Disclosed is a platform for generating and delivering 3-D printed wearables. The platform includes scanning, image processing, machine learning, computer vision, and user input to generate a printed wearable. Scanning occurs in a number of ways across a number of devices. The variability of scanning generates a number of scanning output types. Outputs from the scanning process are normalized into a single type during image processing. The computer vision and machine learning portions of the platform use the normalized body scan to develop models that may be used by a 3D printer to generate a wearable customized to the user. The platform further provides opportunities for the user to check the work of the scanning, image processing, computer vision, and machine learning. The user input enables the platform to improve and inform the machine learning aspects.

Abstract: Disclosed is a platform for generating and delivering 3-D printed wearables. The platform includes scanning, image processing, machine learning, computer vision, and user input to generate a printed wearable. Scanning occurs in a number of ways across a number of devices. The variability of scanning generates a number of scanning output types. Outputs from the scanning process are normalized into a single type during image processing. The computer vision and machine learning portions of the platform use the normalized body scan to develop models that may be used by a 3D printer to generate a wearable customized to the user. The platform further provides opportunities for the user to check the work of the scanning, image processing, computer vision, and machine learning. The user input enables the platform to improve and inform the machine learning aspects.

Abstract: The disclosed technique relates to an insert for footwear and to a composite orthotic insole comprising said insert, wherein the insert is embedded with a plurality of force (or pressure) sensors, and may be used to provide feedback on important information regarding the wearer's gait biomechanics. The layer of sensors may be used to assist in monitoring the wearer's health via foot pressure tracking. The insole can use a relative large number of sensors, which together provide broad coverage of the human foot impact area.

Abstract: An example processor-implemented method for retrieving multimedia data in accordance with the present disclosure is determining whether each of a plurality of still frames satisfies at least one trigger qualification process for a trigger generation process, presenting for selection still frames from the plurality of still frames if the still frames satisfy the at least one trigger qualification process for a trigger generation process, receiving a selection of a still frame from among the presented still frames, and performing the trigger generation process on the selected still frame to generate a trigger for the selected still frame.