Abstract: This application discloses image coding methods and apparatuses. One method comprises obtaining a plurality of groups of human skeleton data associated with performing an action by a human body, wherein each group of the plurality of groups of human skeleton data comprises joint data associated with a joint for performing the action. Based on joint data comprised in at least a portion of the plurality of groups of human skeleton data, a motion feature corresponding to the plurality of groups of human skeleton data is extracted, and the motion feature is encoded to obtain a motion feature image.

Abstract: Embodiments provide extracting information respectively corresponding to predetermined dimensions from environment information corresponding to an unmanned driving environment. In some embodiments, the information respectively corresponding to the dimensions is input into an identification model to obtain a driving feature. Then a risk value representing a driving risk degree of an unmanned device is determined, and a maximum variation of the information corresponding to at least one dimension is determined when a variation of the driving feature is less than a predetermined threshold. A maximum variation of the information corresponding to each dimension is used as a risk contribution feature. A variation representative value of the information corresponding to each dimension is determined from the risk contribution feature. According to the variation representative values of the dimensions, a driving risk factor corresponding to the risk value is determined based on the driving feature.

Abstract: This application discloses an image coding method comprising: obtaining a plurality of groups of human skeleton data associated with performing an action by a human body, wherein each group of the human skeleton data comprises joint data associated with a joint for performing the action; extracting, based on joint data in the plurality of groups of human skeleton data, a motion feature matrix corresponding to the plurality of groups of human skeleton data; and encoding the motion feature matrix to obtain a motion feature image.

Abstract: The field of the invention relates to robot motion and a global path plan for a robot. Global paths are planned using piecewise Sigmoid curves by determining an initial valid path for guiding a robot from a starting position to an ending position, dividing the initial valid path into a plurality of individual segments of the initial valid path, and fitting a separate Sigmoid curve respectively to each of the plurality of individual segments of the initial valid path based on parameters of at least one of smoothness and security to produce a piecewise Sigmoid curve path.

Abstract: This application discloses an image coding method comprising: obtaining a plurality of groups of human skeleton data associated with performing an action by a human body, wherein each group of the human skeleton data comprises joint data associated with a joint for performing the action; extracting, based on joint data in the plurality of groups of human skeleton data, a motion feature matrix corresponding to the plurality of groups of human skeleton data; and encoding the motion feature matrix to obtain a motion feature image.

Abstract: This application discloses an image coding method comprising: obtaining a plurality of groups of human skeleton data associated with performing an action by a human body, wherein each group of the human skeleton data comprises joint data associated with a joint for performing the action; extracting, based on joint data in the plurality of groups of human skeleton data, a motion feature matrix corresponding to the plurality of groups of human skeleton data; and encoding the motion feature matrix to obtain a motion feature image.

Abstract: A damping control method for a lower-limb prosthesis, comprising the following steps: isolate the driving motor of the lower-limb prosthesis from the driving voltage; the driving motor is driven to rotate by the force that results from locomotion of a human's CoM (Center of Mass), and generates an alternating induced voltage, when the driving motor behaves as a generator; connect output terminals of the driving motor with a full-bridge rectification circuit that is made of Schottky diodes to transform the alternating induced voltage to a direct-current voltage; connect the output terminals of the full-bridge rectification circuit with a controlled switch to form a closed circuit, which will generate induced current from the induced voltage; control the on-off ratio of the controlled switch with a Pulse-Width-Modulation signal to generate a controllable motor current, which will result in controllable braking torque under the magnet field of the driving motor.

Abstract: A damping control method for lower-limb prosthesis, comprising the following steps: Isolate the driving motor of the transmission structure from the driving voltage; The motor is driven to rotate by the force that results from the locomotion of human's CoM (Center of Mass), and generates alternating induced voltage, when the motor behaves as a generator; Connect the output terminals of the motor with a full-bridge rectification circuit that is made of Schottky diodes to transform the alternating induced voltage to direct-current voltage; Connect the output terminals of the rectification circuit with a controlled switch to form a closed circuit, which will generate induced current from the induced voltage; Control the on-off ratio of the switch with the Pulse-Width-Modulation signal to generate controllable motor current, which will result in controllable braking torque under the magnet field of the motor. This invention can be applied to prosthesis control.