Abstract: A vehicle device setting method including: capturing, by an image sensing unit, a first image frame; recognizing a user ID according to the first image frame; showing ID information of the recognized user ID on a screen or by a speaker; capturing a second image frame; generating a confirm signal when a first user expression is recognized by calculating an expression feature in the second image frame and comparing the recognized expression feature with stored expression data associated with a predetermined user expression to confirm whether the recognized user ID is correct or not according to the second image frame captured after the ID information is shown; controlling an electronic device according to the confirm signal; and entering a data update mode instructed by the user and updating setting information of the electronic device by current electronic device setting according to a saving signal generated by confirming a second user expression in a third image frame captured after the user ID is confirmed

Abstract: A user recognition and confirmation device includes an image sensing unit, a face recognition unit, a display unit and an expression recognition unit. The image sensing unit captures a first image frame and a second image frame. The face recognition unit is configured to recognize a user ID according to the first image frame. The display unit is configured to show ID information of the user ID. The expression recognition unit is configured to confirm a user expression according to the second image frame and output a confirm signal. There is further provided a user recognition and confirmation method and a central control system for vehicles.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining a location of a particular object relative to a vehicle. In one aspect, a method includes obtaining sensor data captured by one or more sensors of a vehicle. The sensor data is processed by a convolutional neural network to generate a sensor feature representation of the sensor data. Data is obtained which defines a particular spatial region in the sensor data that has been classified as including sensor data that characterizes the particular object. An object feature representation of the particular object is generated from a portion of the sensor feature representation corresponding to the particular spatial region. The object feature representation of the particular object is processed using a localization neural network to generate the location of the particular object relative to the vehicle.

Abstract: A key unit and a keyboard using the same are provided. The key unit includes a circuit board, an elastic element, a keycap, and a processing circuit. The circuit board includes a capacitance sensing circuit embedded therein, and the capacitance sensing circuit includes a pair of sensor electrodes. The elastic element is disposed on the circuit board. The keycap is moveably disposed above and spaced apart from the circuit board. The elastic element is disposed between the keycap and the circuit board so that the keycap moves between a non-depressed position and a depressed position with respect to the circuit board. The processing circuit is electrically connected to the pair of sensor electrodes to obtain a variation of a coupling capacitance between the pair of sensor electrodes and to determine whether the keycap is touched or depressed according to the variation of coupling capacitance.

Abstract: A wearable electronic device with a function of detecting a wearing state, comprising: a plurality of electrodes; a capacitance calculating circuit, coupled to the electrodes, configured to calculate capacitance variations generated by at least two of the electrode; and a wearing state determining circuit, coupled to the capacitance calculating circuit, configured to determine the wearing state according to the capacitance variations. The wearing state determining circuit determines that the user wears the wearable electronic device in a proper manner if the capacitance variations indicate at least two of the electrodes indicate the user touches wearing state determining circuit. By this way, the wearing state can be auto detected and the wearable electronic device can be correspondingly control according to the wearing state.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating object interaction predictions using a neural network. One of the methods includes obtaining a sensor input derived from data generated by one or more sensors that characterizes a scene. The sensor input is provided to an object interaction neural network. The object interaction neural network is configured to process the sensor input to generate a plurality of object interaction outputs. Each respective object interaction output includes main object information and interacting object information. The respective object interaction outputs corresponding to the plurality of regions in the sensor input are received as output of the object interaction neural network.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining a location of a particular object relative to a vehicle. In one aspect, a method includes obtaining sensor data captured by one or more sensors of a vehicle. The sensor data is processed by a convolutional neural network to generate a sensor feature representation of the sensor data. Data is obtained which defines a particular spatial region in the sensor data that has been classified as including sensor data that characterizes the particular object. An object feature representation of the particular object is generated from a portion of the sensor feature representation corresponding to the particular spatial region. The object feature representation of the particular object is processed using a localization neural network to generate the location of the particular object relative to the vehicle.

Abstract: A wearable electronic device with a function of detecting a wearing state, comprising: at least one electrode; a capacitance calculating circuit, coupled to the electrode, configured to calculate a capacitance variation generated by at least one of the electrode; and a wearing state determining circuit, coupled to the capacitance calculating circuit, configured to determine the wearing state according to the capacitance variation. By this way, the wearing state can be auto detected and the wearable electronic device can be correspondingly control according to the wearing state.

Abstract: This invention provides a method of preparing a sample for physical analysis, comprising the steps of providing a specimen, and forming a low-temperature atomic layer deposition film on the specimen to generate a sample for physical analysis.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating object interaction predictions using a neural network. One of the methods includes obtaining a sensor input derived from data generated by one or more sensors that characterizes a scene. The sensor input is provided to an object interaction neural network. The object interaction neural network is configured to process the sensor input to generate a plurality of object interaction outputs. Each respective object interaction output includes main object information and interacting object information. The respective object interaction outputs corresponding to the plurality of regions in the sensor input are received as output of the object interaction neural network.

Abstract: A dual lens imaging module suitable for an electronic device is provided. The dual lens imaging module includes a first lens, a second lens, and a moving module. The moving module is connected to the second lens and is adapted to move or tilt the second lens, wherein the first lens is a lens having an autofocus function, and a working distance of the dual lens imaging module is adapted to be changed according to a spacing of the first lens and the second lens.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating object interaction predictions using a neural network. One of the methods includes obtaining a sensor input derived from data generated by one or more sensors that characterizes a scene. The sensor input is provided to an object interaction neural network. The object interaction neural network is configured to process the sensor input to generate a plurality of object interaction outputs. Each respective object interaction output includes main object information and interacting object information. The respective object interaction outputs corresponding to the plurality of regions in the sensor input are received as output of the object interaction neural network.

Abstract: A wearable electronic device with a function of detecting a wearing state, comprising: at least one electrode; a capacitance calculating circuit, coupled to the electrode, configured to calculate a capacitance variation generated by at least one of the electrode; and a wearing state determining circuit, coupled to the capacitance calculating circuit, configured to determine the wearing state according to the capacitance variation. By this way, the wearing state can be auto detected and the wearable electronic device can be correspondingly control according to the wearing state.

Abstract: A pressure measuring method, applied to a pressure measuring apparatus, comprising: measuring a first pressure sensing value when the pressure measuring apparatus operates at a first scan frequency and receives a first pressure; and measuring a second pressure sensing value when the pressure measuring apparatus operates a second scan frequency and receives the first pressure. The first pressure sensing value and the second pressure sensing value are different, and a change between the first pressure sensing value and the second pressure sensing value is according to a change between the first scan frequency and the second scan frequency. The first scan frequency and the second scan frequency are different. The pressure measuring method can further comprise a calibrating mechanism to compensate the sensed pressure. By this way, the pressure sensing value can be calibrated, to solve the issue that the pressure sensing values are affected by scan frequencies.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a future occupancy prediction for a region of an environment. In one aspect, a method comprises: receiving sensor data generated by a sensor system of a vehicle that characterizes an environment in a vicinity of the vehicle as of a current time point, wherein the sensor data comprises a plurality of sensor samples characterizing the environment that were each captured at different time points; processing a network input comprising the sensor data using a neural network to generate an occupancy prediction output for a region of the environment, wherein: the occupancy prediction output characterizes, for one or more future intervals of time after the current time point, a respective likelihood that the region of the environment will be occupied by an agent in the environment during the future interval of time.

Abstract: A dual lens imaging module suitable for an electronic device is provided. The dual lens imaging module includes a first lens, a second lens, and a moving module. The moving module is connected to the second lens and is adapted to move or tilt the second lens, wherein the first lens is a lens having an autofocus function, and a working distance of the dual lens imaging module is adapted to be changed according to a spacing of the first lens and the second lens.

Abstract: There is provided a parallel sensing touch control device including a capacitive sensor array processed by differential unit. In one detection interval, the device is concurrently conducting more than one sensing electrode of the capacitive sensor array so as to reduce a scanning interval of the capacitive sensor array. The differential unit performs a differential operation on detected signals to cancel out common mode noise.

Abstract: A pressure measuring method, applied to a pressure measuring apparatus, comprising: measuring a first pressure sensing value when the pressure measuring apparatus operates at a first scan frequency and receives a first pressure; and measuring a second pressure sensing value when the pressure measuring apparatus operates a second scan frequency and receives the first pressure. The first pressure sensing value and the second pressure sensing value are different, and a change between the first pressure sensing value and the second pressure sensing value is according to a change between the first scan frequency and the second scan frequency. The first scan frequency and the second scan frequency are different. The pressure measuring method can further comprise a calibrating mechanism to compensate the sensed pressure. By this way, the pressure sensing value can be calibrated, to solve the issue that the pressure sensing values are affected by scan frequencies.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining a location of a particular object relative to a vehicle. In one aspect, a method includes obtaining sensor data captured by one or more sensors of a vehicle. The sensor data is processed by a convolutional neural network to generate a sensor feature representation of the sensor data. Data is obtained which defines a particular spatial region in the sensor data that has been classified as including sensor data that characterizes the particular object. An object feature representation of the particular object is generated from a portion of the sensor feature representation corresponding to the particular spatial region. The object feature representation of the particular object is processed using a localization neural network to generate the location of the particular object relative to the vehicle.

Abstract: A pressure measuring method, applied to a pressure measuring apparatus, comprising: measuring a first pressure sensing value of the pressure measuring apparatus, which corresponds to a first pressure in a test mode; measuring a second pressure sensing value of the pressure measuring apparatus, which corresponds to a second pressure in the test mode; generating a first corresponding function according to the first pressure, the second pressure, the first pressure sensing value and the second pressure sensing value; sensing a third pressure sensing value via the pressure measuring apparatus in a normal mode; and generating a third pressure according to the third pressure sensing value via the first corresponding function; wherein the pressure measuring apparatus operates at a first scan frequency. By this way, the pressure sensing value can be calibrated, to solve the issue that the pressure sensing values are affected by scan frequencies.