Goertek Inc.

Pengcheng Su

Yifan Zhang

Fuli Xie

Guomin Zou

A wearable device comprises: a hand gesture configuring and identifying module, for collecting feature data to be identified of a wearer by a sensor, identifying out a current hand gesture action of the wearer, searching a correspondence relation between a hand gesture action and an unmanned aerial vehicle control command that is configured and saved in advance, and sending an unmanned aerial vehicle control command corresponding to the hand gesture action to the ground control station module; a ground control station module, for receiving the unmanned aerial vehicle control command by using a data interface, encoding the control command, converting it into a control message and then sending it to the wireless transmission module; and a wireless transmission module for receiving the control message and wirelessly sending it to the unmanned aerial vehicle, to realize controlling the flight state of the unmanned aerial vehicle according to the control message.

Wearable device, apparatus for controlling unmanned aerial vehicle and method for realizing controlling

A following method and device for an unmanned aerial vehicle and a wearable device are provided. The following method comprises: installing a plurality of receiving sensors on the unmanned aerial vehicle, wherein the plurality of receiving sensors match with one transmitting sensor in a smart control device at the user side; receiving a distance signal transmitted by the user in real time by using the receiving sensors, and calculating a relative position of the unmanned aerial vehicle with respect to the user according to the distance signal; and adjusting the horizontal position of the unmanned aerial vehicle according to the relative position, so that the relative position of the unmanned aerial vehicle with respect to the user agrees with a preset position, to realize automatic following of the unmanned aerial vehicle.

Following method and device for unmanned aerial vehicle and wearable device

A method and a device for a black and white screen display based on an Android platform, and a smart terminal. The method comprises: selecting a size of the black and white screen according to an image display size that is generated in the Android platform, so that the image display size is adapted to the size of the black and white screen; acquiring Android display data that is generated in the Android platform; individually converting the Android display data that is corresponding to each of pixels into black and white display data that is corresponding to each of the pixels; buffering the converted black and white display data into a queue, extracting the data from the queue by using a preset real-time process and outputting to a data interface of the black and white screen according to a preset frame rate; and displaying the black and white display data that is corresponding to each of the pixels on the black and white screen.

Method and device for black and white screen display based on android platform, and smart terminal

The present disclosure provides a method for recognizing a human motion, a method for recognizing a user action and a smart terminal. The method for human motion recognition comprises: collecting human motion data to train to obtain a feature extraction parameter and a template data sequence; in one human motion recognition, collecting data for performing human motion recognition to obtain an original data sequence; using the feature extraction parameter to perform feature extraction on the original data sequence, reducing the number of data dimensions of the original data sequence, and obtaining a test data sequence after the dimension reduction; matching the test data sequence with the template data sequence, and confirming that a human motion corresponding to the template data sequence associated with the test data sequence occurs when a successfully-matched test data sequence exists. By performing dimension reduction on the test data sequence, the present disclosure lowers requirements for human motion postures and cancels noise, then matches the data after the dimension reduction with the template, realizes accurate recognition of human motions while reducing the computing complexity, and improves the user experience.

Method for recognizing a human motion, method for recognizing a user action and smart terminal

A method and a device for controlling a gait of a biped robot. The method includes: selecting gait controlling parameters, and acquiring a movement trajectory of a center of mass when a zero moment point of the biped robot is located within a steady area; obtaining first numerical values of each of the gait controlling parameters of the center of mass and second numerical values of the center of mass; setting a first constraint condition when the step starting phase ends by using the first numerical values, and setting a second constraint condition when the step ending phase starts by using the second numerical values; calculating the movement trajectories of the center of mass in the step starting phase and the step ending phase on the basis of the first constraint condition and the second constraint condition, respectively; and controlling a walking of the biped robot.

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Weifang, China

Pengcheng Su