Wearable apparatus for monitoring various physiological and environmental factors are provided. Real-time, noninvasive health and environmental monitors include a plurality of compact sensors integrated within small, low-profile devices, such as earpiece modules. Physiological and environmental data is collected and wirelessly transmitted into a wireless network, where the data is stored and/or processed.

Wearable apparatus for monitoring various physiological and environmental factors are provided. Real-time, noninvasive health and environmental monitors include a plurality of compact sensors integrated within small, low-profile devices, such as earpiece modules. Physiological and environmental data is collected and wirelessly transmitted into a wireless network, where the data is stored and/or processed.

Methods and apparatuses for identifying food chewed or beverage drank are disclosed herein. In embodiments, a device may comprise one or more sensors to provide vibration signal data representative of vibrations sensed from a nasal bridge of a user wearing the device, a chewing analyzer to extract from the vibration signal data a first plurality of features associated with chewing activities, and/or a drinking analyzer is to extract from the vibration signal data a second plurality of features associated with drinking activities. The extracted first and/or second plurality of features, in turn, may be used to determine a category of food the user was chewing, or a category of beverage the user was drinking. In embodiments, the methods and apparatuses may use personalized models.

Dental caliper and method for determining occlusion. The caliper may comprise an elongate member, or “beam”, marked with a scale (indicia); a first jaw (or probe) extending from the beam, and fixed to the beam; and a second jaw (or probe) extending from the beam, and movable along the beam; wherein: a proximal portion of the first (fixed) jaw is offset from a distal portion of the jaw. The offset may be is fixed, such as 3 mm, or may have a gradient, such as 3-5 mm. The method may comprise using the caliper to (i) measure the eye-to-ear distance and (ii) measure the nose-to-chin distance. This may be done without adjusting the probes. The caliper and method of use may represent an improvement over U.S. Pat. No. 4,718,850 (Knebelman).

A processing device receives, from an image capture device associated with an augmented reality (AR) display, a plurality of images of a face of a patient. The processing device selects a subset of the plurality of images that meet one or more image selection criteria. The selection comprises determining, from the plurality of images, a first image that represents a first position extreme for the face; determining, from the plurality of images, a second image that represents a second position extreme of the face; selecting the first image; and selecting the second image. The processing device further generates a model of a jaw of the patient based at least in part on the subset of the plurality of images that have been selected.

Device for inspecting the stability of a dental implant (1) in a bone (2), the implant having a free end (1a) and an end (1b) buried in the bone (2). The device comprises an ultrasonic transducer (12) for emitting and collecting an ultrasonic wave reflected from a contact interface (4) between the implant (1) and the bone (2), and providing a measurement signal representing the reflected ultrasonic wave. The device also comprises a processing unit for computing, based on the measurement signal, an indicator (IN) whose value makes it possible to evaluate the integration of the implant (1) into the bone (2). The indicator (IN) corresponds to the average energy of the measurement signal over a time interval (t1-t2) starting at a first time (t1) and ending at a second time (t2). The first time (t1) is between 20 and 80 μs after the start of the emission of the ultrasonic wave.

Systems and methods for monitoring food intake include an air pressure sensor for detecting ear canal deformation, according to some implementations. For example, the air pressure sensor detects a change in air pressure in the ear canal resulting from mandible movement. Other implementations include systems and methods for monitoring food intake that include a temporalis muscle activity sensor for detecting temporalis muscle activity, wherein at least a portion of the temporalis muscle activity sensor is coupled adjacent a temple portion of eyeglasses and disposed between the temple tip and the frame end piece. The temporalis muscle activity sensor may include an accelerometer, for example, for detecting movement of the temple portion due to mandibular movement from chewing.

In an example embodiment, a processing device receives a 3D image of a face of a person. The processing device identifies a first plurality of visible landmarks and a second plurality of visible landmarks on the face from the 3D image, wherein the second plurality of visible landmarks are associated with soft facial tissues. The processing device determines a post-treatment arrangement of the first plurality of visible landmarks based on a first mapping between a current dentition of the person and a post-treatment dentition of the person. The processing device determines, based on applying the post-treatment arrangement of the first plurality of visible landmarks to a second mapping between the first plurality of visible landmarks and the second plurality of visible landmarks, a post-treatment shape of the soft facial tissues. The processing device generates a modified version of the 3D image, wherein the soft facial tissues have the post-treatment shape in the modified version of the 3D image.

Method and apparatus for monitoring eating behavior are disclosed. A wearable device including an imaging sensor, an electromyography (EMG) sensor, and a processing unit is configured to collect EMG data via the EMG sensor, transmit the EMG data to a computing device, receive a control signal to capture one or more images via the imaging sensor, capture, one or more images, and transmit the one or more images. A computing device is disclosed including a processor and a memory containing a machine learning model and computer program code that, when executed, performs an operation. The operation includes receiving EMG data, processing the EMG data as input to a trained machine learning model, transmitting the control signal to capture one or more images via the imaging sensor, receiving the one or more images, and determining nutritional content of the food or beverage using the one or more images.

A method, system and computer readable storage media for defects in images during three-dimensional measurement of teeth. An operator may use a dental camera to scan teeth and a trained deep neural network may automatically detect portions of the input images having defects and generate output information regarding those defects for corrective measures to be taken.