1643 results about "Motion Mode" patented technology

A digital camera capable of capturing, displaying and recording images at appropriate frame rates is provided. When a current shooting scene mode is a non-sport mode, a current readout mode and a current display mode are set to a high-definition readout mode and a high-definition display mode, respectively, at the same time. Additionally, when a current operating mode is a moving image capturing mode, a current recording mode is also set to a high-definition recording mode at the same time. When the current shooting scene mode is a sport mode, on the other hand, the current readout mode and the current display mode are set to a high-speed readout mode and a high-speed display mode, respectively, at the same time. Additionally, when the current operating mode is the moving image capturing mode, the current recording mode is also set to a high-speed recording mode. The digital camera increases the image-capturing frame rate, the display frame rate and the recording frame rate in synchronism with each other in response to a change of the current shooting scene mode from the non-sport mode to the sport mode.

The present invention relates to a method of operating a user interface (UI) based on a motion sensor and a mobile terminal using the same. The method of operating a UI of a mobile terminal including a touch sensor and a motion sensor includes identifying an input of a mode conversion key, activating the motion sensor, and converting a UI mode to a motion mode. The mobile terminal having a touch sensor and motion sensor may include a display unit and a controller. The display unit may display an application execution screen. The controller may activate the motion sensor if mode conversion is requested in an activated state of the touch sensor, and may activate the touch sensor if mode conversion is requested in an activated state of the motion sensor.

In a portable biological information monitor apparatus, a pulse wave detection signal obtained by light emission from a green LED and a body motion detection signal obtained by light emission from an infrared LED are detected as biological information. This biological information is analyzed to compute various barometers. In a wake normal mode of a set generation mode, body motion and pulse are calculated as wake evaluation barometers for evaluation of a test subject's status in wake. In a wake steady state motion mode, body motion, pulse, and pitch are calculated as motion evaluation barometers for evaluation of the test subject's status in steady state motion. In a sleep mode, body motion, pulse, and autonomic nervous function are calculated as sleep evaluation barometers for evaluation of the test subject's status in sleep. Necessary barometers are thereby generated regardless of the test subject's action using the portable monitor apparatus alone.

The invention relates to the technical field of data mining, in particular to a location prediction system and a method based on historical track data mining. In the method, the location prediction problem is decomposed into two sub-problems of offline track mining and online mode matching, wherein the offline track mining mainly adopts the data mining technology to process and analyze the historical track data of a user; and the online mode matching is mainly based on the online motion conditions of the user and the mined motion mode to perform matching and searching. According to the invention, various needs based on the location-based services (such as location-based advertisement, recommendation, reminding and other services) are effectively met, and the problems of the prior art are solved.

The invention discloses a detection method for an abnormal behavior of a vehicle based on spectrum clustering. The detection method comprises the following steps: obtaining a space-time track of a moving target through video tracking; removing abnormality and preprocessing, thereby obtaining a normal track; constructing an image for the track, thereby obtaining an undirected image corresponding to a track sequence; calculating similarity among tracks, thereby obtaining a similarity matrix; performing Laplace transformation on the similarity matrix, thereby obtaining a Laplace matrix; clustering the feature vector matrix of the front k maximal feature values; after performing mode learning on a motion track, obtaining motion modes of the target under a normal state; if a new track meets one of the motion modes, i.e. a normal motion mode, confirming that the traffic is normal; and if not, confirming that the vehicle abnormally runs, namely, the traffic abnormality occurs. According to the detection method, through the clustering learning for the vehicle track, the monitoring for the abnormal behavior of the vehicle is realized, the abnormal lane change is detected and the basis for automation of traffic management is supplied.

The invention discloses a piece of mobile wrist strap equipment and a working method thereof. The mobile wrist strap equipment comprises a single chip MCU (Microprogrammed Control Unit), a communication IC (Integrated Circuit), a buzzer, a vibrator, a key, an LED (Light Emitting Diode) lamp, a low-voltage checking circuit, a 2.4G communication frequency modulation circuit, an acceleration transducer, a gyroscope integrated chip, a register, a USB (Universal Serial Bus) circuit, a power supply stabilivolt, a USB charging circuit, an ionic charge battery, an infrared checking circuit and a blood oxygen checking circuit. The mobile wrist strap equipment is a piece of USB equipment with wireless transport protocols, is capable of recording motion, daily life and sleep information of a person, transmitting motion information of the person through a USB and wireless mediums, and monitoring and recording daily action and motion data and sleep information of a user. The mobile equipment displays a motion mode and the completeness of a day motion goal through LEDs without using a piece of LCD (Light Crystal Display) equipment, so that the mobile equipment is very simple and the attachment feeling of wearing is greatly decreased when the mobile equipment is used.

The invention discloses an underwater structure detection robot control system and a motion control method. A water surface system comprises a water surface console, a water surface communication transceiver and an umbilical cable, and an underwater system comprises an underwater communication transceiver, a power supply unit, an embedded microcontroller, a power-propelled unit, a vision illumination unit, a motion switching unit, a safety protection unit and a sensor unit. Each function module is in a modular design, mounting and dismounting are convenient, the water surface console has an emergent stopping function, a wireless connection tablet personal computer is configured, movable monitoring can be achieved, communication modes are various, the data volume is large, the motion switching unit supports switching of two motion modes such as swimming and crawling, and reliable safety protection such as data storage and voltage and current detection can be achieved. By means of the underwater structure detection robot control system and the motion control method, the motion control method is based on a generalized prediction proportion integration differentiation (PID) control algorithm, system energy consumption can be effectively reduced, loads of components and parts are decreased, and a robot can be conveniently and stably controlled.

A dual mode digital imaging system has a still processing mode that produces an output image in a first color space and a motion processing mode that produces an output image in a second color space, in particular a first color space that is RGB and a second color space that is YUV. The digital imaging system includes a dual mode digital camera for use with a computer and a processing application for running on the computer, wherein the motion mode processing is relatively less complex than the still mode processing although at least one common control parameter is used to control both modes. The motion mode processing, which is performed using algorithms and software approaches designed to minimize processing time, nonetheless produces an entirely adequate relatively low resolution YUV image appropriate for applications such as videoconferencing. The still mode processing, on the other hand, uses more elaborate algorithms to optimize the image quality of a relatively high resolution RGB output image.

An allowable range of a frictional force component, such as a horizontal component of a translation floor reaction force, applied to a legged mobile robot 1 is set, and a provisional movement with a current time gait of the robot 1 is determined so as to satisfy a condition concerning the allowable range and a dynamical equilibrium condition that a moment produced about a point of application of a provisional desired floor reaction force substantially agrees with a provisional desired floor reaction force moment. The provisional movement is determined by adjusting movements in two movement modes which are different in ratio between the translation floor reaction force and the floor reaction force moment. Based on the final state of the provisional movement, the current time gait is determined by correcting the provisional movement and at least one of the point of application of the provisional desired floor reaction force and the provisional desired floor reaction force moment in such a manner that the current time gait is connected to or brought close to a normal gait. The correction is performed when the frictional force component is unlikely to exceed the allowable range.

The invention discloses a splittable snake-like robot with multiple motion modes. The snake-like robot comprises a head portion, body portions, a split portion, joint portions and a tail portion. The head portion and the tail portion are in the same cone shape; every body portion is provided with folding independent retractable wheel foot composite structures which are evenly distributed in six directions in an embedded mode, and the top of every body portion is provided with a driving wheel or a driven wheel; the split portion utilizes rod grooves to achieve dual use in one body or self-salvation when broken; and every joint portion utilizes double mutually-perpendicular steering engine housing structures to mount steering engines, thereby achieving the free horizontal and vertical steering of neighboring modules through double degrees of freedom. By adjusting the retraction angle and the retraction length of every wheel foot, the splittable snake-like robot can moves in multiple motion modes such as sliding, crawling and two-dimensional transformation besides snake-like motion modes of creeping, rolling and wiggling, thereby effectively improving the adaptability and the speed of the snake-like robot under various complex land hard terrain conditions.

A processing control method for a portable music playback apparatus includes the steps of determining whether a motion mode of the music playback apparatus is a steady-motion mode that is associated with motion of a user or an unsteady-motion mode that is not associated with the motion of the user by analyzing an output of a motion sensor installed in the music playback apparatus; and switching processing of the music playback apparatus in accordance with a determination result obtained by the determining step.

The invention relates to a device and a method for a multi-axis fretting fatigue test of a steel wire. The device comprises a base frame, a pull-torsion fatigue system, a swing loading system and a condition monitoring system, wherein the base frame comprises a base, support stand columns, bearing beams and support fixture blocks, the support stand columns are symmetrically arranged on the base; the bearing beams are respectively arranged on the tops of the support stand columns; the support fixture blocks are respectively arranged in the middle parts of the support stand columns; the pull-torsion fatigue system comprises a support system, a torsion driving system and a pull-pull fatigue system; the swing loading system comprises a swing driving system and a loading system; the condition monitoring system comprises a fretting measurement system, an axial fatigue load measurement system, a torsion measurement system and a swing measurement system. The torsion angle of the fatigue steel wire can be obtained through a crank-link mechanism by adjusting the eccentric position of an eccentric block; the multi-axis fretting fatigue test of the steel wire can be realized in the composite motion modes such as pull-pull fatigue, torsion and variable crossing angle swing and the like; the device and the method are used for disclosing the multi-axis fretting fatigue fracture mechanism of the steel wire, and carrying out quantitative evaluation on multi-axis fretting fatigue damage evolution and multi-axis fretting fatigue life of the steel wire.

Provided are a stroke patient rehabilitation training system and method based on brain myoelectricity and a virtual scene. Control over the virtual rehabilitation scene is achieved through myoelectric signals, and rehabilitation training intensity is adjusted in a self-adaptation mode with a brain myoelectricity fatigue index combined. The design of the virtual rehabilitation scene is completed with the needs of stroke patient rehabilitation training and the advice of a rehabilitation physician combined, the brain fatigue index is provided, and quantitative evaluation on brain region fatigue is achieved. The surface myoelectric signal features under different motion modes of an arm are extracted, the motion intention of a patient is obtained, and control over the virtual rehabilitation scene is achieved. The muscle fatigue and brain fatigue index comprehensive features are extracted, the fatigue state of a rehabilitation patient is obtained, self-adaptation rehabilitation training scene adjusting is achieved, rehabilitation training intensity is relieved or enhanced, and secondary damage caused by improper training is avoided. The system and method have the advantages of being high in safety, high in intelligence and scientific in training, and damage cannot happen easily.

A method and apparatus of detecting and using motion modes in a mobile device is described. Movement data is collected from an inertial motion unit (IMU) of the mobile device and compared to two or more sets of training data, each set of training data corresponding to a different motion mode. Then, a motion mode is determined to be the current mode of the mobile device on the results of the comparison. The motion mode is used by the mobile device in a variety of applications.

A fast motion estimation system that determines a reference macroblock or sub-block combination within a reference frame for a current macroblock in a current frame includes a memory, a reference macroblock search circuit, a sub-block combination search circuit, and a comparator circuit. The reference macroblock search circuit determines a motion vector, multiple difference values, and a cost value for each macroblock within the reference frame according to a fast motion estimation search pattern, and stores the motion vector and the difference values in the memory. The sub-block combination search circuit searches the motion vector and the difference values in the memory for determining a corresponding one of multiple lowest cost sub-block combinations for each of multiple sub-block motion modes. The comparator circuit determines a lowest cost macroblock and selects from among the lowest cost macroblock and the lowest cost sub-block combinations to determine the reference macroblock.

The invention provides a method for detecting gestures. The method includes steps of detecting a predefined motion mode to determine a region-of-interest to be detected; detecting in the region-of-interest according to a scheme of a multi-scale sliding window, extracting local mean features from skin color membership images based on window images at first, classifying the features through a pre-trained Ada-Boost classifier, further extracting feature points on the basis of a gray-scale image of the window images processed via the Ada-Boost classifier, and then classifying the point-pair features through a random forest classifier; and clustering different types of target gesture windows and outputting accurate positions and shapes of the gestures. The invention further provides a system for detecting the gestures. The method and the system for detecting the gestures are simple, rapid and stable in implementing, and have the advantages of real-time performance, interference resistance, high identification precision and the like.

A motion equation with a boundary condition regarding a future center-of-gravity horizontal trajectory of a robot is solved so that the moment around a horizontal axis at a point within a support polygon is zero when the robot is in contact with a floor or so that horizontal translational force is zero when the robot is not in contact with the floor and so that connection is made to a current horizontal position and speed of the center of gravity. In addition, a motion equation with a boundary condition regarding a future center-of-gravity vertical trajectory of the robot is solved so that vertical translational force acting upon the robot other than gravity is zero when the robot is not in contact with the floor and so that connection is made to a current vertical position and speed of the center of gravity. A motion state of a next time is determined so that, when the robot is not in contact with the floor, the moment around the center of gravity is zero, and the determined center-of-gravity position is achieved. Therefore, a stable motion pattern which allows transition between a floor contact period and a floor non-contact period is generated in real time.

The invention discloses a device and a method for calibrating the dynamic tracking precision of a photoelectric tracking system. The device comprises a beacon light subsystem used for generating beacon light, a high-speed image acquisition system and a processing subsystem, wherein the beacon light subsystem comprises a high-precision laser target simulator, a laser target controller, a first computer and a target plate; the high-speed image acquisition system comprises a high-speed camera; and the processing subsystem comprises a second computer. The beacon light subsystem consisting of a solid laser, a beam expander, a fast tilting mirror and a reflecting mirror is used for generating the beacon light to the target plate and can simulate targets with a plurality of motion modes and movement speeds through faculae, so that the precision of equipment can be tested persuasively. The faculae are acquired by the high-speed image acquisition system and the high test precision can be obtained by using a high-speed digital image processing technology, so that the photoelectric tracking system is quickly and accurately calibrated according to the measurement of the tracking precision.

The invention discloses a method for detecting fire disaster smog by video on the basis of color saturation and motion mode, which comprises the following steps: firstly, extracting a foreground motion block from a video image acquired by a monitoring camera through a difference method; secondly, detecting the color saturation of the foreground motion block, estimating the direction of the motion block, and calculating the cumulant and the main moving direction of the motion block; and thirdly, calculating the color saturation detection percentage of each region, the average cumulant and the main moving direction ratio to form a characteristic vector, and adopting a Bayesian classifier to judge whether the smog is the fire disaster smog. The detection of the color saturation reflects a rough color distribution of the smog and eliminates a large amount of foreground interfering objects with glowing colors. The color detection in a blocking mode further improves the anti-interference performance of a system. The cumulant shows the characteristic of continuous movement nearby a smoldering point of the smog, and has very good anti-interference performance for a non-reciprocating object. The comprehensive utilization of the color saturation detection percentage, the average cumulant and the main movement ratio can greatly reduce the rate of false alarm for the system.

Provided are a man-machine interaction method and man-machine interaction equipment based an acceleration sensor and motion recognition. The method includes the following steps: (1) a three-shaft acceleration sensor located on the man-machine interaction equipment collects X-axis acceleration data, Y-axis acceleration data and Z-axis acceleration data, and conveys the X-axis acceleration data, the Y-axis acceleration data and the Z-axis acceleration data to a controller of the man-machine interaction equipment; (2) the controller pre-processes the acceleration data, and removes noise and gravitational acceleration influences to obtain a precise X-axis acceleration sequence, a precise Y-axis acceleration sequence and a Z-axis acceleration sequence and to cache the acceleration sequences; (3) an acceleration threshold value is set, when the maximum of the X-axis acceleration sequence, the Y-axis acceleration sequence and the Z-axis acceleration sequence in cache is larger than the acceleration threshold value, the step (4) is carried out, and otherwise the step (1) is carried out; (4) motion mode recognition is carried out on the obtained X-axis acceleration sequence, the Y-axis acceleration sequence and the Z-axis acceleration sequence by means of a pre-trained classifier; (5) each motion mode corresponds to a trigger command, and the controller executes the corresponding trigger command according to a result after the motion mode recognition and provides corresponding feedback for a user; and (6) the steps from (1) to (5) are repeated.

The invention discloses a humanoid flexible mechanism arm device which comprises five fingers which are driven by six motors. Modular structures with same structures are adopted on four fingers (an index finger, a middle finger, a third finger and a little finger). Special effects of finger coupling transmission are achieved by a manner that the one motor, a reduction gearbox, a transmission mechanism and a flexible body are comprehensively utilized on the modular fingers. A thumb is driven by two motors, a pair of duplex bevel gears and a cross-shaped shaft are applied on a base joint transmission system to achieve buckling and side-sway movements, and good transmission effects and arrangement of the thumb and a palm are achieved. Each finger is provided with three joints which include a base joint, a middle joint and a far joint, the speed ratio is close to 1: 1: 1, and the mechanical arm is enabled to be close to a movement pattern of a hand. The humanoid flexible mechanical arm device has the advantages of being large in fingertip output force and rigidity, compact in structural arrangement, high in humanization degree, stable in grab and the like.

The invention provides a multimodal amphibious bio-robot, which comprises a head, a replaceable wheel paddle/flipper mechanism, a propelling unit and a caudal peduncle compound drive mechanism. In water, the propelling unit and the caudal peduncle compound drive mechanism oscillate back and forth to propel by imitating a fish in the plane, and a rotating mechanism rotates the propelling unit and the caudal peduncle compound drive mechanism for 90 degrees, and switches the moving mode of propelling by imitating a fish into that of swimming by imitating a dolphin; and the flipper mechanism assists the tail propelling to accomplish actions of moving forward, moving backward, turning and pitching, and the paddle mechanism assists the robot turning. On land, the flipper mechanism rotates continuously to make the robot creep on the ground, imitates the movement of a wheel mechanism when rotating continuously, thereby the robot improves the speed of the movement, has obstacle-climbing capability, and a driven wheel reduces the resistance of the movement on the land. The robot can induce the own environment in real time by two liquid level sensors arranged at the head and the propelling unit respectively; and when the land and water environments are changed, according to the information of the liquid level sensors, a main control panel uses corresponding movement policies to accomplish the intelligent switching between the modes of moving on the land and in the water.