Align Technology, Inc.

Ben-gurion University of the Negev Research and Development Authority

Mor Research Applications Ltd.

Eliran Dafna

Ofer Saphier

Tal Levy

Yossef Atiya

Tal Verker

Nir Makmel

Yaniv Zigel

Ariel Tarasiuk

Gal Peleg

Sergei Ozerov

Dvir Ben Or

Matan Halevi

Apparatuses (e.g., systems, devices, etc.) and method for scanning both a subject's intraoral cavity as well as detecting, using the same scanner, e.g., wand, finger gestures and executing command controls based on these detected finger gestures.

Gesture control using an intraoral scanner

An intraoral scanner comprises one or more structured light projectors and two or more cameras, where each structured light projector projects a pattern of light onto an intraoral three-dimensional (3D) surface and the two or more cameras capture one or more sets of images, wherein each image includes at least a portion of the projected pattern of light. A processor solves a correspondence problem within a set of images of the one or more sets of images such that points in 3D space are determined based on correspondence of captured features in the set of images to projected features of at least the portion of the projected pattern, wherein said points in 3D space form a solution to the correspondence problem. The processor calibrates the intraoral scanner by performing an adjustment to stored calibration data associated with the intraoral scanner based on the solution to the correspondence problem.

Automatic calibration of intraoral 3D scanner

An intraoral scanning system comprises and intraoral scanner and a processor. The intraoral scanner comprises one or more cameras and one or more structured light projectors, the intraoral scanner to generate a series of images using the one or more cameras, each image including at least a portion of a pattern projected by the one or more structured light projectors onto an intraoral three-dimensional surface. The processor runs a correspondence algorithm to compute respective three-dimensional positions of a plurality of features of the pattern on the intraoral three-dimensional surface, as captured in the series of images. The processor identifies the computed three-dimensional position of a detected feature of the pattern as corresponding to a particular projector ray r, in at least a subset of the series of images. The processor tracks the particular projector ray r across one or more additional images of the series of images.

Ray tracking for intraoral 3D scanner

The present invention relates to a system and method for determining sleep quality parameters according to audio analyses, comprising: obtaining an audio recorded signal comprising sleep sounds of a subject; segmenting the signal into epochs; generating a feature vector for each epoch, wherein each of said feature vectors comprises one or more feature parameters that are associated with a particular characteristic of the signal and that are calculated according to the epoch signal or according to a signal generated from the epoch signal; inputting the generated feature vectors into a machine learning classifier and applying a preformed classifying model on the feature vectors that outputs a probabilities vector for each epoch, wherein each of the probabilities vectors comprises the probabilities of the epoch being each of the sleep quality parameters; inputting the probabilities vectors for each epoch into a machine learning time series model and applying a preformed sleep quality time series pattern function on said probabilities vectors that outputs an enhanced probabilities vector for each epoch; determining a final sleep quality parameter for each epoch by calculating the most probable sleep quality parameters sequence.

Estimation of sleep quality parameters from whole night audio analysis

Provided herein is a method and system for the estimation of apnea-hypopnea index (AHI), as an indicator for Obstructive sleep apnea (OSA) severity, by combining speech descriptors from three separate and distinct speech signal domains. These domains include the acoustic short-term features (STF) of continuous speech, the long-term features (LTF) of continuous speech, and features of sustained vowels (SVF). Combining these speech descriptors may provide the ability to estimate the severity of OSA using statistical learning and speech analysis approaches.

Methods and systems for estimation of obstructive sleep apnea severity in wake subjects by multiple speech analyses

A method of distinguishing sleep period states that a person experiences during a sleep period, the method comprising: using a non-contact microphone to acquire a sleep sound signal representing sounds made by a person during sleep; segmenting the sleep sound signals into epochs; generating a sleep sound feature vector for each epoch; providing a first model that gives a probability that a given sleep period state experienced by the person in a given epoch exhibits a given sleep sound feature vector; providing a second model that gives a probability that a first sleep period state associated with a first epoch transitions to a second sleep period state associated with a subsequent second epoch; and processing the feature vectors using the first and second models to determine a sleep period state of the person from a plurality of possible sleep period states for each of the epochs.

Apparatus and method for diagnosing sleep quality

A method for generating a 3D image includes driving structured light projector(s) to project a pattern of light on an intraoral 3D surface, and driving camera(s) to capture images, each image including at least a portion of the projected pattern, each one of the camera(s) comprising an array of pixels. A processor compares a series of images captured by each camera and determines which of the portions of the projected pattern can be tracked across the images. The processor constructs a three-dimensional model of the intraoral three-dimensional surface based at least in part on the comparison of the series of images. Other embodiments are also described.

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Beer-Sheva, Israel

Eliran Dafna