Abstract: The present disclosure discloses an Internet-of-Things-oriented machine learning container image download system and a method. The Internet-of-Things-oriented machine learning container image download system includes a master node and a plurality of computing nodes; the master node is configured to store and convert a machine learning model, and build a machine learning container image from the format-converted machine learning model; and issue an image download instruction to each of the computing nodes after image information of the machine learning container image is completely built; and each of the computing nodes is configured to receive the image download instruction, download the machine learning container image, and start a machine learning container; and receive data collected by Internet-of-Things devices, and return a data processing result to the Internet-of-Things devices.

Abstract: Methods and apparatuses are disclosed for electronic devices associated with monitoring a patient's use of an intraoral dental appliance. The monitoring electronics may communicate with near-field communication (NFC) signals. An NFC booster is disclosed to improve NFC data transfer between the electronic devices that monitor patient usage and communication devices. NFC boosters may be included within dental appliance cases and/or mobile phone cases. Also described are method and apparatuses for mounting the monitoring electronics onto the dental appliance. Also described are compact sensors, e.g., capacitive sensors, that may be included as part of a monitoring electronics unit.

Abstract: Apparatuses for sanitizing and/or sterilizing a dental/orthodontic appliance are described herein. These apparatuses may include an internal chamber in which one or more sanitizing/sterilizing modes, such as UV light (e.g., UVC light), ultrasound, heat, etc. may be applied to an appliance.

Abstract: Pressure-sensor based arrays are integrated into a control device that detects the position, motion, or movement of a one or more body parts of a user to recognize and translate the motion into a unique user-motion profile. The user motion profile may be independently analyzed or recognized as a discrete motion or gesture and used as input or commands for the control device itself or as a signal or set of signals that yields an output signal to a companion device. The pressure sensors can be attached to any body part of a user, such as the user's wrist or ankle. Motion or position, or changes therein, of the user generates an output signal that may be used to control a companion device. The source of the detectable signal is the pressure-based sensor array that yields a pressure data profile that is translated into an output signal to control the companion device.

Abstract: Pressure-sensor based arrays are integrated into a control device that detects the position, motion, or movement of a one or more body parts of a user to recognize and translate the motion into a unique user-motion profile. The user motion profile may be independently analyzed or recognized as a discrete motion or gesture and used as input or commands for the control device itself or as a signal or set of signals that yields an output signal to a companion device. The pressure sensors can be attached to any body part of a user, such as the user's wrist or ankle. Motion or position, or changes therein, of the user generates an output signal that may be used to control a companion device. The source of the detectable signal is the pressure-based sensor array that yields a pressure data profile that is translated into an output signal to control the companion device.

Abstract: Thin-film pressure sensors are disclosed herein. Such sensors include one or more electrodes in contact with a sensing material. As the sensor deforms the capacitance of the sensor varies and is measurable either between two electrodes of the sensor, or between the one electrode of the sensor and an electrode formed by the surface to which the sensor is applied, such as skin. The sensing material can be an ionic material such as an ionic composite including an ionic liquid.

Abstract: Pressure-sensor based arrays are integrated into a control device that detects the position, motion, or movement of a one or more body parts of a user to recognize and translate the motion into a unique user-motion profile. The user motion profile may be independently analyzed or recognized as a discrete motion or gesture and used as input or commands for the control device itself or as a signal or set of signals that yields an output signal to a companion device. The pressure sensors can be attached to any body part of a user, such as the user's wrist or ankle. Motion or position, or changes therein, of the user generates an output signal that may be used to control a companion device. The source of the detectable signal is the pressure-based sensor array that yields a pressure data profile that is translated into an output signal to control the companion device.

Abstract: Thin-film pressure sensors are disclosed herein. Such sensors include one or more electrodes in contact with a sensing material. As the sensor deforms the capacitance of the sensor varies and is measurable either between two electrodes of the sensor, or between the one electrode of the sensor and an electrode formed by the surface to which the sensor is applied, such as skin. The sensing material can be an ionic material such as an ionic composite including an ionic liquid.

Abstract: Thin-film pressure sensors are disclosed herein. Such sensors include one or more electrodes in contact with a sensing material. As the sensor deforms the capacitance of the sensor varies and is measurable either between two electrodes of the sensor, or between the one electrode of the sensor and an electrode formed by the surface to which the sensor is applied, such as skin. The sensing material can be an ionic material such as an ionic composite including an ionic liquid.