Abstract: A method includes: detecting an object in a first image; receiving a selection of the object depicted in the image; associating the object with a second device based on the selection; and, in response to the selection: recording a series of odometry data; estimating a location of the first device based on the odometry data; recording a series of images; estimating a location of the second device based on the images; calculating a first reference vector in the reference frame of the first device defining the location of the second device relative to the location of the first device; receiving, from the second device, a second reference vector; calculating a rotation and an offset between the reference vectors; and transforming the reference frame of the first device to a common reference based on the rotation and the offset.

Abstract: A method includes: recording a series of frames; recording a set of motion data representing motion of the mobile device; detecting relative positions of a 3D constellation of objects based on the series of frames and the set of motion data; generating classifications of the 3D constellation of objects by calculating a classification of each object in a set of object classes; calculating a transform aligning the 3D constellation of objects with a 3D localization map; accessing a set of augmented reality assets defined by the 3D localization map; calculating a position of the mobile device relative to the 3D localization map based on the transform and the set of motion data; and rendering the set of augmented reality assets based on positions of the set of augmented reality assets in the 3D localization map and based on the position of the mobile device in the 3D localization map.

Abstract: A method includes: recording a series of frames; recording a set of motion data representing motion of the mobile device; detecting relative positions of a 3D constellation of objects based on the series of frames and the set of motion data; generating classifications of the 3D constellation of objects by calculating a classification of each object in a set of object classes; calculating a transform aligning the 3D constellation of objects with a 3D localization map; accessing a set of augmented reality assets defined by the 3D localization map; calculating a position of the mobile device relative to the 3D localization map based on the transform and the set of motion data; and rendering the set of augmented reality assets based on positions of the set of augmented reality assets in the 3D localization map and based on the position of the mobile device in the 3D localization map.

Abstract: A method includes: recording a series of frames; recording a set of motion data representing motion of the mobile device; detecting relative positions of a 3D constellation of objects based on the series of frames and the set of motion data; generating classifications of the 3D constellation of objects by calculating a classification of each object in a set of object classes; calculating a transform aligning the 3D constellation of objects with a 3D localization map; accessing a set of augmented reality assets defined by the 3D localization map; calculating a position of the mobile device relative to the 3D localization map based on the transform and the set of motion data; and rendering the set of augmented reality assets based on positions of the set of augmented reality assets in the 3D localization map and based on the position of the mobile device in the 3D localization map.

Abstract: A method includes: detecting an object in a first image; receiving a selection of the object depicted in the image; associating the object with a second device based on the selection; and, in response to the selection: recording a series of odometry data; estimating a location of the first device based on the odometry data; recording a series of images; estimating a location of the second device based on the images; calculating a first reference vector in the reference frame of the first device defining the location of the second device relative to the location of the first device; receiving, from the second device, a second reference vector; calculating a rotation and an offset between the reference vectors; and transforming the reference frame of the first device to a common reference based on the rotation and the offset.

Abstract: A method includes: detecting an object in a first image; receiving a selection of the object depicted in the image; associating the object with a second device based on the selection; and, in response to the selection: recording a series of odometry data; estimating a location of the first device based on the odometry data; recording a series of images; estimating a location of the second device based on the images; calculating a first reference vector in the reference frame of the first device defining the location of the second device relative to the location of the first device; receiving, from the second device, a second reference vector; calculating a rotation and an offset between the reference vectors; and transforming the reference frame of the first device to a common reference based on the rotation and the offset.

Abstract: A method includes: recording a series of frames; recording a set of motion data representing motion of the mobile device; detecting relative positions of a 3D constellation of objects based on the series of frames and the set of motion data; generating classifications of the 3D constellation of objects by calculating a classification of each object in a set of object classes; calculating a transform aligning the 3D constellation of objects with a 3D localization map; accessing a set of augmented reality assets defined by the 3D localization map; calculating a position of the mobile device relative to the 3D localization map based on the transform and the set of motion data; and rendering the set of augmented reality assets based on positions of the set of augmented reality assets in the 3D localization map and based on the position of the mobile device in the 3D localization map.

Abstract: A method includes: recording a series of frames; recording a set of motion data representing motion of the mobile device; detecting relative positions of a 3D constellation of objects based on the series of frames and the set of motion data; generating classifications of the 3D constellation of objects by calculating a classification of each object in a set of object classes; calculating a transform aligning the 3D constellation of objects with a 3D localization map; accessing a set of augmented reality assets defined by the 3D localization map; calculating a position of the mobile device relative to the 3D localization map based on the transform and the set of motion data; and rendering the set of augmented reality assets based on positions of the set of augmented reality assets in the 3D localization map and based on the position of the mobile device in the 3D localization map.

Abstract: A method includes: recording a series of frames; recording a set of motion data representing motion of the mobile device; detecting relative positions of a 3D constellation of objects based on the series of frames and the set of motion data; generating classifications of the 3D constellation of objects by calculating a classification of each object in a set of object classes; calculating a transform aligning the 3D constellation of objects with a 3D localization map; accessing a set of augmented reality assets defined by the 3D localization map; calculating a position of the mobile device relative to the 3D localization map based on the transform and the set of motion data; and rendering the set of augmented reality assets based on positions of the set of augmented reality assets in the 3D localization map and based on the position of the mobile device in the 3D localization map.

Abstract: A method includes: detecting an object in a first image; receiving a selection of the object depicted in the image; associating the object with a second device based on the selection; and, in response to the selection: recording a series of odometry data; estimating a location of the first device based on the odometry data; recording a series of images; estimating a location of the second device based on the images; calculating a first reference vector in the reference frame of the first device defining the location of the second device relative to the location of the first device; receiving, from the second device, a second reference vector; calculating a rotation and an offset between the reference vectors; and transforming the reference frame of the first device to a common reference based on the rotation and the offset.

Abstract: An adjustable, disposable dermal curette is structured to allow a user-practitioner to ergonomically grip a handle and manipulate an adjustable slider with a digit of their hand in order to change the diameter size of the flexible blade formed in an adjustable loop to the useful range of diameter sizes required. The user-practitioner can lock and unlock the slider in place quickly without the need to interrupt their procedure. The adjustable curette solves the problem of requiring multiple curette loop sizes for a procedure and results in improved quality of care and a savings of time and healthcare dollars.

Abstract: An adjustable, disposable dermal curette is structured to allow a user-practitioner to ergonomically grip a handle and manipulate an adjustable slider with a digit of their hand in order to change the diameter size of the flexible blade formed in an adjustable loop to the useful range of diameter sizes required. The user-practitioner can lock and unlock the slider in place quickly without the need to interrupt their procedure. The adjustable curette solves the problem of requiring multiple curette loop sizes for a procedure and results in improved quality of care and a savings of time and healthcare dollars.

Abstract: In one embodiment, a device includes at least one transducer configured to vibrate within a first frequency range to generate a signal audible by a wearer of the device. The device includes the first material, which has an acoustic impedance at one or more frequencies within the first frequency range that is substantially similar to an acoustic impedance of the wearer's skin at the one or more frequencies. The device includes a second material that has an acoustic impedance at one or more frequencies within the first frequency range that substantially differs from an acoustic impedance of an environment of the device.

Abstract: In one embodiment, a device includes at least one transducer configured to vibrate within a first frequency range to generate a signal audible by a wearer of the device. The device includes the first material, which has an acoustic impedance at one or more frequencies within the first frequency range that is substantially similar to an acoustic impedance of the wearer's skin at the one or more frequencies. The device includes a second material that has an acoustic impedance at one or more frequencies within the first frequency range that substantially differs from an acoustic impedance of an environment of the device.

Abstract: An adjustable, disposable dermal curette is structured to allow a user-practitioner to ergonomically grip a handle and manipulate an adjustable slider with a digit of their hand in order to change the diameter size of the flexible blade formed in an adjustable loop to the useful range of diameter sizes required. The user-practitioner can lock and unlock the slider in place quickly without the need to interrupt their procedure. The adjustable curette solves the problem of requiring multiple curette loop sizes for a procedure and results in improved quality of care and a savings of time and healthcare dollars.