326 results about "Motion monitoring" patented technology

A sensing system collects position data associated with one or more obstacles within a certain range of a vehicle. A former establishes an occupancy grid based on the collected position data. A motion monitoring module determines a reaction distance and a deceleration distance associated with a vehicle at a regular time interval during an operational state. A safety guidance module establishes a safety zone (e.g., safety zone grid) for the regular time interval based on the occupancy grid, the determined reaction distance, and the deceleration distance.

A system and method of enhancing guitar instruction based on Tablature Plus encoding of playing techniques within a MIDI file or other data structure, that may be rendered on an associated player application that provides multimedia output of the piece being played including a number of playing techniques. The system hardware for encoding the information includes string motion monitoring, and optionally a hand motion and finger positioning sensor, such as a data glove or a video motion capture system, for simultaneously registering the actions of the guitarist while playing the piece. The software comprises algorithms for determining note pitch and duration, and for extracting playing techniques from the data being collected. Multimedia player software is also described which renders a visual and audio output for the Tablature Plus encoded file, wherein the encoded playing techniques are represented within the display output. The system is adaptable to instruction for any instrument.

The invention discloses a graphene-based strain measuring or motion sensing device. The device is formed by the following steps: a layer or a plurality of layers of graphene film layers are combined on a flexibly insulating substrate; two ends of the graphene film layer are led out through electrodes and connected with ohmmeters, wherein the device is closely combined on the surface of an object to be detected, or a plurality of the devices are closely combined on the surface of the object to be detected, so that the strain variation measurement or motion monitoring can be realized. The device disclosed by the invention has the advantages of simple manufacturing method and capabilities of being suitable for large-scale production such as surface mounting and the like, and being applied to various types of environments and deformed surfaces; especially, the influence on the object to be detected is small, so that contactless measurement can be realized, and the device is suitable for monitoring biological motion. The invention further discloses a manufacturing method and a measuring method for the device.

The invention discloses a pair of intelligent glasses and a control method for controlling an unmanned aerial vehicle, and belongs to the field of unmanned aerial vehicle application. The pair of intelligent glasses comprises a remote control command sender, a telemetry data receiver, an image display device, an eyeball motion monitoring device and a controller, wherein the eyeball motion monitoring device is arranged on the image display device and is used for transmitting aerial images of a shooting device carried on the unmanned aerial vehicle to the image display device for displaying; the controller is electrically connected with the eyeball motion monitoring device and the remote control command sender respectively, and is applicable to generating a control command and transmitting the control command to the unmanned aerial vehicle according to user eyeball motions detected by the eyeball motion monitoring device; and the shooting device is controlled according to the control command to perform corresponding actions. The invention provides a conception of adjusting the direction of the shooting device carried on the unmanned aerial vehicle by using the eyeball motions, and the natural motions of eyeballs during observation are fully utilized to automatically adjust the best field of view. Meanwhile, the eyeball motions are combined with the flight path control of the unmanned aerial vehicle.

The present invention relates to a motion monitoring apparatus and method for monitoring a patient under medical care. A sensor arrangement is provided in the form of a pad which the patient lies on. The sensor arrangement provides a signal which can be monitored to observe motion of the patient and provide an alarm should the motion meet certain predetermined conditions. The invention is particularly applicable for monitoring patients under sedation, recovering from anaesthesia, or in intensive care. The device is particularly useful for veterinary patients.

The monitoring device provides value to parents by assisting with monitoring their infants via a convenient sensor package, straightforward interface, and informative data. With movement, orientation, and temperature data, some strong indicators of general well-being can be monitored and conclusions extracted without the parent needing to be constantly involved. The low-power transceiver technology also means that the device can integrate with smart devices for even more convenience. Such a smart device can in turn communicate with modem large-scale data storage and analysis centers for data logging and analytics, which allows useful analytics to be passed back to the user. The advanced sensing, displaying, and analyzing of data makes the invention stands out in the field of infant monitoring devices.

The invention discloses a flexible wearable nano-fiber fabric sensor and a preparation method thereof. Continuous nano-fiber yarn is prepared through the conjugate electrostatic spinning yarn forming technology, and then the surfaces of fibers in the yarn are coated with a layer of conducting polymer in a polymerization mode. On the basis, the yarn is woven into fabric through a weaving method, the upper surface and the lower surface of the fabric are compounded with gel films with conducting copper wires, and the nano-fiber fabric sensor of a sandwich structure is obtained and is applied to wearable electronic skin. When the fabric sensor suffers from external force stimulation, the fabric sensor has good mechanical adaptability and shows superhigh sensitivity and wide sensing range. The sensor can achieve low pressure heart rate monitoring and high pressure limb motion monitoring in a human body monitoring system.

The invention discloses a group motion monitoring system. The group motion monitoring system is characterized by consisting of three parts: a motion wristband, a data acquisition terminal and a back-end cloud storage device. By implementing the system, the physical quality of teenagers can be enhanced; the vision of the teenagers is protected by applying a hi-tech means (reading and learning light monitoring); the physical exercise of an individual student is quantized and supervised by applying a hi-tech means (motion detection); the motion conditions of all students are subjected to tracking statistics by applying hi-tech means (internet of things and big data); and the school-running characteristics of a school are improved.

An eyeball motion monitoring system based on virtual reality comprises a virtual image display module and an eyeball motion track image collection module, wherein the virtual image display module comprises a virtual imaging eye lens device and an imaging positioning module; and the eyeball motion track image collection module comprises a pupil positioning and processing module, an eyeball deflection angle mapping and computation module and a data collection module. The system provided by the invention has the advantages that through combined utilization of a virtual imaging eye lens and computer software, external interference to detection courses can be reduced; dynamic vision detection is standardized; reliable eyeball motion characteristic data can be obtained; and a scientific basis can be provided for subsequent dynamic vision characteristic evaluation.

The invention discloses a terminal and method for automatically pausing a music play function during sleep time of a user. The method can be applied to terminals, systems and programs. The terminal and the method are used for automatically pausing the music play function when the user gets into a sleep state with earphones so as to protect the hearing of the user and save electric energy. According to the invention, when the system orderly detects that the music play function is started and the earphones are inserted into the terminal, the system starts a user motion monitoring module capable of sensing user motion conditions, and a time monitoring module. When the time monitoring module judges that the time from the last effective response operation of the user to the absence of the effective response action exceeds a preset time threshold, the system prompts the user and reminds the user of executing the effective response operation. If the user makes no response within fixed time, the system defaults that the user is in a sleep state, pauses the music play function and stops monitoring. Otherwise, the system monitors sequentially. The method is very humanized and accurate, is close to the user, and can promote the user experience and enhance the competitiveness of the terminal.

The invention discloses a multi-mode human activity recognition method based on a generative adversarial network. The multi-mode human activity recognition method specifically comprises the followingsteps: 1) preprocessing activity data acquired by using a wearable device, and constructing a training data set; 2) generating diversified activity data by using a modal generator based on a full connection network according to the category label of the real activity data; and 3) for the real activity data and the generated activity data, carrying out joint training of a discrimination task and anactivity recognition task by utilizing a hierarchical discriminator and a classifier based on a shared convolutional layer to obtain a classifier with relatively high generalization capability. The multi-mode human activity recognition method introduces the activity recognition model into the generative adversarial network, generates activity data with diversity, obtains the multi-modal activityrecognition model with high generalization ability through joint learning of the discrimination task and the recognition task, improves the activity recognition performance, and has wide application prospects in the fields of medical care, motion monitoring and the like.

In diffusion weighted imaging, motion monitoring navigation echoes are measured at every measurement of data after applying an RF excitation pulse, and one of them is set as a reference navigation echo. The reference navigation echo and other navigation echoes are one-dimensionally Fourier-transformed, a linear phase gradient thereof is calculated from those data, a linear phase gradient of the reference navigation echo is compared with those of other navigation echoes, and it is judged whether a difference therebetween is within an acceptable value or not. An echo signal corresponding to a navigation echo having the above difference being larger than the acceptable value is judged that correction based on the navigated motion correction is not applicable therein, and the image is produced by using an echo signal measured along with a navigation echo having the difference being the acceptable value or less. In this manner, a motion component included in the echo signal used for producing the image is made uniform and motion artifacts are eliminated.

The invention discloses a target object motion monitoring system and method. The monitoring system comprises an industrial personal computer, a binocular camera, a 3D laser scanner and a GNSS/INS combined navigation module, and the industrial personal computer is connected with the binocular camera, the 3D laser scanner and the GNSS/INS combined navigation module and used for fusion processing ofbinocular visual data, laser point cloud data and measurement data of the GNSS/INS combined navigation module and real-time providing of relative position and posture of a target relative to the camera and absolute position and posture of the target relative to the ground. The target object motion monitoring system and method has advantages that noncontact recognition and measurement of the targetare realized, and accordingly application scene limitation is greatly lowered, and universality in target motion monitoring is improved; further, due to noncontact measurement, influences on the monitoring system on normal operation of the target are greatly reduced; in addition, the system does not move along with the target and is insusceptible to cable power supply or wireless communication, so that complexity in system mounting is greatly reduced while stability in operation is improved.

The invention relates to a smart home service robot with a height of 1.0-1.4 meters and a ground mobile type. The body is equipped with a smart home gateway control center integrating a Wi-Fi router and a ZigBee gateway module. The body is equipped with infrared, 315 /433MHz RF remote control. The smart home gateway control center can connect various environmental sensors, security monitoring equipment, health testing equipment, motion monitoring equipment, and actuators and controllers of various intelligent systems and products. The smart home gateway control center adopts the Android operating system, and is installed with a smart home product connection and configuration management system, a smart home touch screen interactive control software, a smart home voice interactive control software, a smart home cloud connection and analysis software, and connected to a remote smart phone terminal APP, PC application software. This smart home service robot supports three control modes: voice interaction, touch screen interaction, and remote control interaction control.

The invention relates to a method of mouse spontaneous behavior motion monitoring and posture image recognition, which designs an algorithm for recognizing three key points of a mouse mouth part, a mass center and a tail root part and establishes the corresponding recognition program. The method comprises the following steps: firstly, obtaining the object mouse; secondly, determining the mass center, the mouth part and the tail root part; thirdly, obtaining the motion track information; fourthly, judging the mouse inclines or not according to the result obtained by the step 2, entering the step 6 if inclining, or else entering the step 5; fifthly, detailing three statuses of squat, normal status, and extending through the posture ratio, and finishing; sixthly, detailing the inclining posture and finishing. The invention can accurately describe the motion status of the mouse, primarily realizes the posture recognition of the mouse, and riches the obtainable information of an automatic monitoring system.

The present invention discloses a grassland grazing sheep grazing behavior detection system and method. The system comprises a sensor detection and data transmission system, and a camera realizing synchronization acquisition of video signals and sound signals. The sensor detection and data transmission system includes: a GPS positioning and grazing path monitoring module configured to realize the motion monitoring of grazing sheep; a behavior detection module configured to detect the stand and stand time, sleeping and sleeping time and walk and walk time of grazing sheep; a wind speed and wind direction monitoring module configured to monitor the wind speed and the wind direction at the position of the grazing behavior; a humidity monitoring module configured to monitor the temperature and the humidity at the position of the grazing behavior; a signal processing module electrically connect with the camera and each module and configured to collect the data of each module for processing; and a GPRS wireless data transmission module configured to transmit the data processed by the signal processing module in the wireless mode. The invention further discloses the detection method of the system provided by the invention.

A motion monitoring system and a method of obtaining and analyzing motion data that uses an accelerometer or an image capture device to acquire subject motion data. The motion data may be obtained from an accelerometer applied to a chest of the subject, or from an image capture device configured to view the subject during the detected motion. The motion data is analyzed to distinguish between a seizure type of motion and a non-seizure type of motion, with the subject motion characterized by at least one of, and combinations of, motion amplitude or magnitude, motion period or frequency, motion bandwidth, subject position, and subject change in position over a time period of the detected motion. The system and method further includes the generation of an output in response to an identification of the seizure and non-seizure types of motion.

The invention relates an integral monitoring system for a tower crane, and solves the problem that an existing tower crane driver is limited by the view range, and cannot know the overall situation of the tower crane at any time caused by the dead zone and combined use unavailability of the black box of the tower crane and other equipment. The system comprises a video monitoring sub-system, a motion monitoring sub-system, an industrial tablet touch computer and a data recording sub-system, wherein the video monitoring sub-system is used for transferring video information collected by a camera to the industrial tablet touch computer; the motion monitoring sub-system is used for controlling motion of the tower crane and transferring a control signal to the industrial tablet touch computer; the data recording sub-system is used for transferring information collected by a sensor to the industrial tablet touch computer; the overall situation of the tower crane is displayed by the industrial tablet touch computer, and the overall running situation of the tower crane can be known. The integral monitoring system is suitable for monitoring a tower crane.

The invention discloses a wearable device and a personal safety monitoring method. The wearable device includes a heart rate monitoring module, a motion monitoring module, a positioning module, a processing module and a communication module; the heart rate monitoring module is used for acquiring the heart rate data of a user, judging whether the heart rate data are abnormal or not, and sending the judgment result of the heart rate data to the processing module; the motion monitoring module is used for acquiring the motion data of the user, judging whether the motion data are abnormal or not, and sending the judgment result of the motion data to the processing module; the positioning module is used for acquiring the geographic location information of the user and sending the geographic location information to the processing module; the processing module is used for judging the personal safety status of the user based on the judgment result of the heart rate data and the judgment result of the motion data, and sending an alarm message containing the geographic location information to the communication module when judging the personal safety status of the user is abnormal; and the communication module is used for sending the alarm message to an associated device. The wearable device and the personal safety monitoring method of the invention can intelligently infer the personal safety status of the user and has high automation degree and is easy to realize.