Abstract: A flexible underwater robot, a control method and a device is provided with at least one movable joint and a control module. A flexible joint module of the movable joint comprises a first connecting plate, a second connecting plate, a first spring, several second springs, several third springs, several first pulling ropes, several second pulling ropes and a pulling module. The first spring, the second springs and the third springs are arranged from inside to outside in sequence with gradually decreased rigidities correspondingly to form a gradual rigidity structure, so that it is more flexible to adjust a posture. When the robot is impacted, it may absorb and release energy to ensure the integrity of the flexible joint module, so that the stability is improved.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A wearable device and a method for monitoring a movement state by using the same are disclosed. A sensor is provided in the wearable device. The method comprises: controlling the sensor to collect movement data of a user when a monitoring process starts; extracting one or more features for identifying the movement state of the user from the movement data to obtain test data; and matching the test data with stored template data representing predetermined movement states, to obtain template data that successfully match the test data, and determining occurrence of a movement state corresponding to the matched template data associated with the test data.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method and a device for a black and white screen display based on an Android platform, and a smart terminal are disclosed. The method comprising: 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 are generated in the Android platform; individually converting the Android display data that are corresponding to each of pixels into black and white display data that are 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 are corresponding to each of the pixels on the black and white screen.

Abstract: 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.

Abstract: A wearable device and a controlling method thereof, and a system for controlling a smart home. The wearable device comprises: a hand gesture identifying module, for by characteristic data to be identified of a wearer that is collected by a sensor, identifying out a current hand gesture action of the wearer; an appliance configuring module, for according to acquired information of each of household electrical appliances, establishing and saving correspondence relations between controlling commands of each of the household electrical appliances and corresponding hand gesture actions; and upon receiving the hand gesture action, looking up the household electrical appliance and the controlling command that match the hand gesture action by using the correspondence relations, generating a controlling message according to the matched information; a wirelessly connecting module, for receiving the controlling message and wirelessly sending the controlling message to a smart home controlling server.

Abstract: 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.

Abstract: A channel estimation device and method for an orthogonal frequency division multiplexing (OFDM) system for receiving OFDM symbols to generate channel estimation information is provided. The channel estimation method includes: obtaining a portion of pilot signals from a plurality of pilot signals as a first pilot set according to corresponding positions of the pilot signals in the OFDM symbols; estimating a first estimation factor by calculating the pilot signals in the first pilot set in a first direction; estimating a second estimation factor by calculating the pilot signals in the first pilot set in a second direction; obtaining a pilot signal estimation result according to the first estimation factor and the second estimation factor; and obtaining the channel estimation information according to the pilot signal estimation result.

Abstract: A control channel encoder that uses a channel structure that efficiently transmits more information bits, yet achieves sufficient detection and false alarm performance. Disclosed embodiments use a fixed encoder packet size, tail-biting convolutional coding, and Cyclical Redundancy Check (CRC). Further disclosed is a control channel decoder using Viterbi Decoding and a circular trellis check.

Abstract: A control channel encoder, e.g., in a UMB system, uses a channel structure that can efficiently transmit more information bits, yet achieve sufficient detection and false alarm performance. The control channel encoder uses tail-biting convolutional coding and Cyclical Redundancy Check (CRC).

Abstract: A channel estimation device and method for an orthogonal frequency division multiplexing (OFDM) system for receiving OFDM symbols to generate channel estimation information is provided. The channel estimation method includes: obtaining a portion of pilot signals from a plurality of pilot signals as a first pilot set according to corresponding positions of the pilot signals in the OFDM symbols; estimating a first estimation factor by calculating the pilot signals in the first pilot set in a first direction; estimating a second estimation factor by calculating the pilot signals in the first pilot set in a second direction; obtaining a pilot signal estimation result according to the first estimation factor and the second estimation factor; and obtaining the channel estimation information according to the pilot signal estimation result.

Abstract: A control channel encoder, e.g., in a UMB system, uses a channel structure that can efficiently transmit more information bits, yet achieve sufficient detection and false alarm performance. A control channel encoder can use a fixed encoder packet size, tail-biting convolutional coding, and Cyclical Redundancy Check (CRC). A control channel decoder can use Viterbi Decoding and a circular trellis check.

Abstract: A control channel encoder, e.g., in a UMB system, uses a channel structure that can efficiently transmit more information bits, yet achieve sufficient detection and false alarm performance. The control channel encoder uses tail-biting convolutional coding and Cyclical Redundancy Check (CRC).

Abstract: A preamble channel encoder, e.g., in a UHDR-DO system, uses a channel structure that can efficiently transmit more information bits, yet achieve sufficient detection and false alarm performance. The preamble channel encoder uses tail-biting convolutional coding and Cyclical Redundancy Check (CRC). The preamble channel structure can be used to encode, e.g., rate indicator bits, while a MAC identifier encoder, e.g., a Reed-Solomon encoder, is used to encode MAC identifier bits. The encoded rate indictor and MAC identifier bits can then be mapped to the appropriate tones in an OFDM encoding scheme.