156 results about "Abnormal movements" patented technology

A building safety monitoring system by using radio frequency identification (RFID) comprises a monitoring unit, an information management center server and an alarm unit. The monitoring unit comprises an RFID reader and a radio frequency label; the RFID reader is arranged at the boundary of an area to be monitored to detect the radio frequency label information from personnel or objects with the radio frequency label entering the monitored area and to send the detected radio frequency label information to the information management center server through a wire/wireless network; the information management center server stores the radio frequency label information, makes real-time processing to the monitored data according to a predetermined mechanism and generates alarm through the alarm unit if the radio frequency label is damaged, has the situation of information loss, abnormal movement or entering the restricted area, and the like. The building safety monitoring system has the characteristics that the information management center server can monitor the situations that the personal and the objects with the radio frequency label come in/come out of the building in real time, thus realizing the real-time safety monitoring of the building.

A system and a method for protecting the head of a user in case of an abnormal movement, such as a fall or a collision. The system comprises an apparel (1), an airbag (2), an inflator (3), and a trigger. The airbag includes a first part (7) for surrounding the neck and back head portion of the user after inflation, and a second part (8) for forming a hood surrounding the skull of the user after inflation. The first part (7) and second part (8) are folded and arranged in the apparel (1) before inflation. The apparel is arranged around the neck of the user, like for example a collar or a scarf.

The invention provides a smart vacuum cleaner with a mobile security monitoring function. The smart vacuum cleaner comprises a cleaner body and a charging post thereof, wherein the cleaner body comprises a camera, a vibration sensor, a noise sensor, a first wireless network module and a control module; if the control module detects abnormal vibration, abnormal noise or abnormal movement under a deployment state, the first wireless module sends an alarm to the charging post; the command which is sent by the charging post is switched to an inspection mode, and shot monitoring images are sent to the charging post; the charging post comprises a data memory module for storing the monitoring images which is wirelessly sent by the cleaner body, a second wireless network module and a management device; and the management device receives the alarm command which is sent out by the cleaner body through the second wireless network module, so that the cleaner body is switched to the inspection mode, accesses an internet through a wireless network to transmit alarm information to a remote user terminal and transmits the monitoring images to a remote user. The vacuum cleaner can provide safer household monitoring for the users.

The invention discloses a lower limbs rehabilitation robot movement control system which comprises a passive training mode and an active training mode these two working modes according to different rehabilitation effects at different restoration stages of a patient, wherein in the passive training mode, the patient is driven by mechanical legs to move according to a predetermined physiological gait trajectory, the generated abnormal movement is completely inhibited; in the active training mode, limited abnormal movement of the patient is inhibited by the mechanical legs, the joint driving force generated by the action of the patient on the mechanical legs is extracted by a man-machine inverse dynamics model through real-time detection of man-machine interaction, the active movement intent of the patient is acquired, so that the patient can initiatively adjust the gait trajectory in real time, and the enthusiasm of the patients initiatively participating in the rehabilitation training is improved. The lower limbs rehabilitation robot movement control system is suitable for the lower limbs rehabilitation training movement at different restoration stages, enhances the initiative of patients participating in the rehabilitation training, and establishes the rehabilitation confidence and the movement enthusiasm of the patients, so as to enhance the effect of rehabilitation training.

This disclosure describes systems, methods, and apparatus for garments that restrict detrimental or abnormal movement of the upper and lower body. This is made possible by forming garments from an elastic base layer and then coupling one or more elastic and/or inelastic bands coupled to, secured to, or atop the base material in locations that restrict detrimental movement of the body. A load distribution ring can anchor some of the bands.

Provided are a moving apparatus and an apparatus, method, and medium for compensating position based on a position recognition technology. The moving apparatus which provides a function for correcting a position includes a sensing unit obtaining multiple state information reflecting one or more abnormal movement states generated by movements of the moving apparatus; a state determination unit determining whether or not the abnormal movement state is generated by self-contained navigation, by referring to the obtained multiple state information; and a position information calculation unit calculating final position information of the moving apparatus, by correcting the multiple state information as the abnormal movement state occurs.

The invention relates to a non-removable electronic waist strap system and an abnormal movement detection method thereof, particularly relates to an electronic waist strap system oriented to management and control of the community correction personnel and an abnormal detection method thereof, and belongs to the technical field of electronic waist straps. According to the technical scheme provided by the invention, the electronic waist strap system oriented to management and control of the community correction personnel comprises a non-removable electronic waist strap put on the correction personnel, wherein the non-removable electronic waist strap can be matched and connected with handheld equipment, and a number of non-removable electronic waist straps detected by the handheld equipment simultaneously exceeds a preset number, the handheld equipment is used for inputting personnel gathering and warning information and transmitting current GPS (Global Positioning System) position information. The electronic waist strap system is compact in structure, capable of realizing abnormal detection such as collection of the community correction personnel, damage and dismantling of a waist strap and short-time serious action, and no wearing of the waist strap, convenient to use, and safe and reliable.

The present invention discloses a multi-parameter grain condition control system and an intelligent ventilation method. The system comprises a grain condition detection subsystem for real-timely providing the humiture information in a granary, a grain condition internal circulation temperature control/circulation fumigation subsystem used for summer grain temperature control, insect killing and the grain spring and autumn condensation prevention, an insect pest and gas detection subsystem for real-timely monitoring the insect number at the insect prone position in the granary and the gas concentration, an intelligent ventilation subsystem for opening and closing a granary ventilation opening and starting and stopping an axial flow fan, a number monitoring and abnormal movement detection subsystem for detecting the volume of a grain bulk to obtain the grain reserves of the granary, sending out the alarm information when a bin gate moves abnormally and shooting the mobile position, a main control unit, a central control computer, and an intelligent energy consumption monitoring subsystem for gathering and monitoring the electric quantity usage conditions of the electrical lines to obtain the operation and energy consumption conditions of the equipment. By optimizing and integrating equipment, the system of the present invention realizes the centralized control and supervision of all grain condition monitoring and detection system equipment, and can realize the remote centralized control.

The invention relates to the technical field of an elevator and discloses a detection and alarming device of abnormal opening of a hoistway door, comprising a power supply, a control unit, first switches, second switches, and alarms, wherein the first switches and the second switches are arranged on all floors and the alarms are arranged on all the floors; after the first switches and the second switches of all the floors are connected in parallel, n parallel circuits are formed; a serial circuit is formed by the n parallel circuits; the control unit comprises a potential detection circuit and a high potential output circuit; and when the potential detection circuit detects that when an nth input end is a low potential, a high-potential output circuit inputs a high potential to an nth parallel circuit and supplies power to the alarm of the nth floor to enable the alarm to give an alarm. The invention further discloses a realization method of the detection and alarming device, which can effectively detect all the abnormally-opened hoistway doors and sends out an effective alarming measure, so as to effectively detect and alarm the abnormal movement hoistway door when an elevator main control board has a floor identification error.

The invention discloses a visualized detection method for online abnormal movements of a power distribution automation graph and model, comprising steps of using a topology model of a power distribution network red database in a power distribution automation master station to establish a memory topology of a primary device of the power distribution network, recording topology relations before the abnormal movement and after the abnormal movement, performing interaction with a GPMS system by the power distribution automation master station system to obtain an abnormal movement file, analyzing an SVG graph file to display on a man-machine interface, binding with corresponding topology model information by a primitive, performing verification on consistency of the graph and the model and using a color mark on the primitive according to the verification result, timely, fast and directly displaying the graph and model abnormal movement conditions to automation staff before a process of performing automation debugging, performing verification on consistency of the model topology, the graph and the model, and synchronizing an abnormal movement single condition to the GPMS system. The visualized detection method disclosed by the invention improves accuracy and timeliness of abnormal movements and greatly improves working efficiency of scheduling staff and automation staff.

Provided are a method and apparatus for detecting an abnormal movement. The apparatus includes a feature tracing unit configured to extract features of a moving object in an input image, trace a variation in position of the extracted features according to time, and ascertain trajectories of the extracted features; a topic online learning unit configured to classify the input image in units of documents which are bundles of the trajectories, and ascertain probability distribution states of topics, which constitute the classified document, by using an online learning method which is a probabilistic topic model; and a movement pattern online learning unit configured to learn a velocity and a direction for each of the ascertained topics, and learn a movement pattern by inferring a spatiotemporal correlation between the ascertained topics.

The invention relates to electronic equipment, a surgical robot system and a control method of the surgical robot system, and aims to acquire a system safety state according to the states of a masterend and a slave end and send out corresponding safety prompt information and/or safety processing measures according to a system safety result in combination with a preset system safety strategy. Therefore, an operator can acquire the abnormal state of the surgical robot system according to the safety prompt information conveniently and/or in an assisted mode, and can take corresponding safety processing measures, so that abnormal movement of the surgical robot system is prevented, the safety of a patient is ensured, and the safe and smooth operation process is ensured.

The invention discloses a health management service system and method based on dynamic monitoring and analysis of heart functions. The system includes a heart health service cloud platform, a connected heart function intelligent monitoring and early warning device, an intelligent mobile terminal and a management subsystem connected with a medical service institution information platform. The mechanical vibration of the heart is monitored in vitro by a portable intelligent wearable device, vibration information of the heart is obtained in real time and non-invasively, and with combination of digital processing, machine learning and artificial intelligence technology pattern recognition and intelligent diagnosis, the abnormal physical structure and pulse rhythm of the heart are found in theearly stage, such as valvular lesions, abnormal movement of heart wall, change of the ejection fraction of the heart, arrhythmia and the like. With combination of an early warning reporting system, the purposes of early warning and timely medical care for heart disease can be realized. The system has great significance for early warning and monitoring and contrast postoperative rehabilitation monitoring of serious arrhythmia, angina pectoris and acute myocardial infarction, daily monitoring of home-based elderly people and physical exercise people.

Embodiments of the invention provide an abnormal action determination method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a target video clip corresponding to a target action; obtaining a human skeleton key point corresponding to each frame of image in the target video clip, and obtaining a motion posture feature corresponding to the target video clip based on the human skeleton key point corresponding to each frame of image; inputting the motion posture features into an anomaly recognition model to obtain likelihood values corresponding to the motion posture features; and determining whether the target action in the video clip is an abnormal action or not according to the likelihood value. The motion posture features constructed based on the human skeleton key points in each frame of image in the target video clip can accurately describe human posture changes in the target video clip, abnormal actions can be accurately and timely confirmed by using the motion posture features and the abnormal recognition model, and the method is simple and convenient to use and easy to widely apply.

The invention discloses a tablet-computer-based long-distance medical care system with the behavior monitoring function. The system comprises a detecting device, a family nurse station, a cloud server and a medical care workstation, wherein the detecting device is used for collecting and sending physiological parameters, the family nurse station is used for receiving, storing, analyzing and uploading the physiological parameters and achieving data interaction including audio, videos, texts and pictures between doctors and patients, the cloud server is used for storing and analyzing a user database, and the medical care workstation is used for enabling medical workers to download and manage data in the user database and achieving data interaction including audio, videos, texts and pictures between the doctors and the patients. A tablet computer serves as a hardware terminal in the family nurse station, the carrying convenience is provided for a user, and the system erecting cost is reduced. The family nurse station comprises a behavior monitoring module, and recognizing and alarming of abnormal movement behaviors of the patients are achieved. The long-distance medical care system is convenient to carry, beneficial to interaction, high in large data processing capacity and capable of meeting requirements for diagnosing, treating, consulting and nursing of common diseases.

An autonomous electronic device and a method of controlling the motion of the autonomous electronic device thereof are disclosed. The autonomous electronic device includes a motor, a wheel, a processing module, a motor controlling module, and a motion sensor module. The motor is used for driving the wheel. The motor controlling module is used for controlling the motor. The motion sensor module is used for generating a sensing signal according to surrounding conditions encountered by the autonomous electronic device and transferring the signal to the processing module, wherein when the sensing signal is an abnormal movement signal, the processing module controls the motor to adapt to the surrounding conditions via the motor controlling module according to the abnormal movement signal.

The invention discloses an image processing method based on fed back moving object segmentation. The method comprises the steps that a background is modeled, a model is updated through the dual-layer background, the background is updated with the low updating rate in the first layer to adapt to the slow change of the background, and acceleration and compensation operations are carried out on the background according to the feedback of the high-layer information in the second layer to adapt to the sudden change of the object movement in a scene; a foreground is segmented, predicated moving object blocks are combined according to the feedback of the high-layer information, the segmentation threshold values are adjusted in a self-adaptation mode in a predicated object area, and the purposes of restraining noise and preventing the segmented foreground object from forming a cavity and separation are achieved. According to the processing method, the robustness of the model can be kept and the sensibility of the model to the foreground object abnormal movement can be kept through the background modeling, the noise can be restrained well and foreground cavity and segmentation can be prevented through the foreground segmentation.

The invention relates to an abnormal moving object detection method used for video hotspot detection. The method includes the following steps of assigning a hotspot, a first detection line and a second detection line in a monitoring video; detecting moving objects in the video hotspot; tracing the detected moving objects in later video frames; utilizing a double-detection-line method for recordingthe movement directions of the moving objects in the video hotspot to judge whether or not the movement trails of the moving objects are abnormal; when the moving objects with abnormal movement trails are found, triggering an alarm and outputting a result for storage. By discovering multiple monitored objects in the hotspot of the monitoring video, tracing all the objects separately and meanwhileutilizing the movement direction trends of the objects to judge the movement direction of each traced object, alarm noise is greatly reduced.

The present invention is a collar/harness worn to protect the cervical spine of an active participant when force is applied that would otherwise cause hyperextension, abnormal movement or position, or compression that results in injury, the device (collar-harness) is worn on the shoulders with an anterior (chest interface) portion and a posterior (back interface) portion such that a removable, adjustable coil interfaces with a helmet and the collar via attachment platforms arrayed at the angle of the mandible on either side and at the base of the head to prevent compression and hyperextensions of the cervical spine.

The invention provides a civil differential positioning technology based position determining method. The method comprises the steps that a base station receives detection data sent by a satellite, the data is transmitted to a data processing unit, the data processing unit acquires differential calibration information, and required data is sent to the base station; a vehicle-mounted terminal receives benchmark differential positioning information and satellite detection signals, acquires detection information and transmits the detection information to the base station; the base station calculates calibrated detection data by combining detection information acquired by a GPS antenna and the differential calibration information; and the data processing unit carries out coordinate transformation and filtering on latitude and longitude data in the detection information. According to the civil differential positioning technology based position determining method provided by the invention, precise positioning for vehicle information is provided, and a timely response can be provided when dealing with abnormal movements of a vehicle, so that the loss of property is avoided to the maximum degree.