150 results about "Injury risk" patented technology

Systems and methods for head impact injury prediction. A computer implemented method is provided for event based injury predictions. The computer implemented method receives an indication of sensor data related to an impact of a user. The received sensor data is compared to previously stored sensor data in a data store. Each instance of the previously stored sensor data is associated with a medical diagnosis. If the received sensor data matches any of the previously stored sensor data based on the comparison, then an injury risk indicator is generated based on at least one of the medical diagnosis associated with the matching previously stored sensor data or an impact history of the user. The generated indicator is presented.

A method and a device for triggering and implementing a deceleration of a vehicle to avoid a collision, in which, using a device for adaptive cruise control, objects in the sensor detection range are detected and measured variables are determined for each detected object. The detected objects are assigned to various object classes on the basis of the determined, associated measured variables, and the movement trajectories of the objects are predicted on the basis of the assignment of the detected objects to the particular class. Furthermore, a collision risk and an injury risk are determined from these predicted movement trajectories of the objects and the associated, detected object classes. In the event of the existence of preselected combinations of collision risks and injury risks, the deceleration devices of the vehicle are activated as a function of the degree of the collision risk.

The invention discloses an athlete athletic injury risk early warning method. On the bases of reference to models provided by foreign scholars and comprehensive analysis of track and field athlete athletic injury factors, a track and field athlete motion injury risk early warning injury factor dynamic chain model is provided, based on the model, corresponding factors are selected from an athlete risk early warning database, and a track and field athlete motion injury risk early warning injury factor dynamic chain quantitative model is established through the analytic hierarchy process. Index data are discretized according to an SOM neutral network discretization method, a decision table is simplified according to a method based on a discernibility matrix in a rough set, an RBF neutral network is established based on the simplified decision table, the RBF neutral network is trained, and finally a correct diagnosis result is acquired. By the adoption of the method, accurate early warning can be conducted on athletic injuries, the athlete athletic injury risk grade is effectively predicted, and treatment and prevention of the athletic injuries are facilitated.

The invention discloses a motion recognition and fatigue detection method and system based on gait information. The method includes the steps that current gait information of a user is acquired; the current gait information is subjected to data processing, a current motion behavior of the user and multiple classification results about whether the user is currently in a fatigue state or not are recognized according to multiple preset motion recognition and fatigue classification models, and the preset motion recognition and fatigue classification models are generated in the mode that the gait information generated when the user performs multiple motion behaviors in a non-fatigue state and the fatigue state serves as sample data, and the sample data is applied to a voting classification algorithm, based on integrated learning, in machine learning to be trained; the current motion behavior of the user and the final result about whether the user is currently in the fatigue state or not are acquired according to the classification results based on the principle that minorities submit to majorities. By means of the method, the injury risk caused by the user fatigue state under different motions is reduced, and the accuracy of motion recognition and fatigue detection is improved.

A handling system for handling ground-engaging wear parts used on earth working equipment includes handling tools to remove and handle wear parts from equipment and/or to install new wear parts. The tools can include a torque or other tool to engage and/or disengage a lock retained by the wear member. The handling system allows an operator maintain a distance from heavy parts being removed or installed, reducing the risk of injury.

A system includes a wearable sensor configured to be worn by a person and to record sensor data during an activity performed by the person; an analysis element configured to receive the sensor data from the wearable sensor, determine sensor orientation data of the wearable sensor during the activity based on the sensor data, translate the sensor orientation data of the wearable sensor to person orientation data of the person during the activity, determine, for the person during the activity, (a) a lift rate, (b) a maximum sagittal flexion, (c) an average twist velocity, (d) a maximum moment, and (e) a maximum lateral velocity, and determine a score representative of an injury risk to the person during the activity based on such data; and a tangible feedback element configured to provide at least one tangible feedback based on the score so as to reduce the injury risk.

The invention discloses a prediction method of automobile active safety system effectiveness on the basis of collision deformation depth. The prediction method comprises the following steps: 1) determining an automobile group with similarity rigidity; 2) determining a relationship between EES (Energy Equivalent Speed) and the deformation depth and the relationship between the deformation depth and an injury risk; and 3) establishing an accident reconstruction database, building a control system to carry out accident simulation, combining the relationship between the EES and the deformation depth with the relationship between the deformation depth and the injury risk, calculating and comparing whether the injury risk of the safety system in an accident scene is in the presence or not, and obtaining whether the safety system is effective in improving automobile safety through a comparison result. The prediction method discusses and looks forwards a way of utilizing a deformation degree to predict the automobile active safety system effectiveness on an aspect of the reduction of passenger injury risks only on the basis of the accurate deformation degree information in the accident database. Compared with a method which utilizes speed information, the prediction method disclosed by the invention can obtain more accident data support and more comprehensively evaluates the automobile active safety system.

The invention discloses a multisource data mining-based vehicle intelligent driving system validity evaluation method. The method comprises the steps of 1) obtaining a to-be-evaluated vehicle model, a random traffic scene model and a passenger injury model through multisource data mining; 2) based on the random traffic scene model and the vehicle model, simulating a specific scene of an accident; 3) simulating the scene by utilizing accident reconstruction software, and outputting a post-collision vehicle state; 4) in combination with the passenger injury model, calculating a passenger injury risk and a unit mileage risk after the accident; and 5) replacing the to-be-evaluated vehicle model with a conventional model, and repeating the steps 1) to 4) to obtain unit mileage and passenger injury risks of a vehicle free of a to-be-evaluated system; and then comparing injury results under the conditions that the to-be-evaluated system exists and does not exist, thereby obtaining the validity of the system. An evaluation platform depends on multisource data and known software, can realize evaluation of multiple intelligent driving systems, is low in running cost and high in speed, and has relatively good universal applicability.

The invention relates to a method of assessing injury risk, an injury risk assessment system, and computer-executable instructions configured to facilitate a method of injury risk assessment. The methodology of the invention employs the extraction of at least one user risk variable from a user assessment data set. Once user risk variables are extracted an exposure parameter can be calculated where this exposure parameter is based on at least one user risk variable, and also at least one correlating population risk variable.

The invention discloses a parking space automatic management and charging method and a matched device thereof. Through executing a plurality of program steps, through the function of related clients such as APP, whether an idle parking space exists in a surrounding parking lot can be determined anytime, and furthermore reserving is performed. After entering the parking lot, a parking effect can beeffectively realized according to the function of related software. The parking space automatic management and charging method and the matched device have advantages of realizing self-service parking, realizing no requirement for artificial management and charging, reducing labor, reducing labor cost, reducing personnel injury risk and improving owner organization benefit. Intelligent managementis realized, and a charging mode can be set according to the requirement. High timing accuracy is realized, and unnecessary contradiction is reduced. Conditions such as arbitrary charging, no chargingand charging dodging can be prevented, and furthermore contradiction between a toll collector and a vehicle owner can be prevented. Through Internet technology, the use condition of the parking spacecan be understood in real time, and functions such as reserving the parking space (wherein a reasonable reserving cost should be paid for reserving) are realized. Not only is the vehicle owner facilitated, but also cost can be increased for the organization of the owner.

A system, method, and computer-readable media collect and analyze the physical performance of an individual and structure and generate an athletic protocol. Athletic assessment devices perform an athletic assessment of an individual, including kinetic, neurological, musculoskeletal and aerobic capacity. Athletic data is collected and stored in a digital data storage medium of a computer system having a display, and a central processing unit (CPU) operable with programming executes one or more analytical algorithms to assess injury risk levels of said individual based on said athletic data. Data mining algorithms using artificial intelligence are used to execute predictive modeling and analytics. The resultant athletic protocol includes information to correct imbalances to treat and/or prevent injuries, corrective exercises, performance training exercises, and protocols to maximize physical performance.

The invention discloses safe escape equipment used in a high-rise building fire. The equipment comprises a knapsack; a main chamber vertically penetrating is arranged in the knapsack; a safety pin device is arranged in the main chamber; a parachute opening located at the upper side of the safety pin device is arranged in the main chamber; an unfolding device located at the left side of the safetypin device is arranged in the main chamber; an air bag device located at the left side of the unfolding device is located in the main chamber; and the inner wall of the left side of the main chamber is provided with two limiting devices symmetric front and rear. According to the equipment disclosed by the invention, a gas generating agent in a reaction chamber can be impacted by an impact head, sothat a large amount of gas is produced instantly in the reaction chamber and passes through a pipeline to rapidly push a parachute to unfold; meanwhile, a protection plate is driven by a descent device to move down; and the protection plate is fixed by a fixed triggering device, and a safety air bag on the protection plate is inflated to unfold to lower the injury risk of escape personnel, and therefore, the equipment disclosed by the invention is suitable for high-rise building fire escape, the potential safety hazard during fire escape is reduced, and the escape success rate is increased.

The invention discloses a protection system for preventing an elevator from accidentally moving in an elevator stop and door open state. The protection system comprises a monitoring circuit, wherein the monitoring circuit comprises an input signal circuit, a central processing unit (CPU) and a relay output circuit, wherein four ports (11, 12, 13 and 14) of the input signal circuit respectively input a first door area switching signal, a second door area switching signal, an elevator stop signal and an elevator door open state signal; and after the signals are processed by the CPU, the relay output circuit outputs the signals and controls an electromagnet on steel wire rope brake and a safety circuit on an elevator control system. By the protection system for preventing the elevator from accidentally moving in the elevator stop and door open state, a safety protection measure can be provided when an accidental moving safety accident of the elevator occurs, so that the operating safety of the elevator is improved; and therefore, the accidental injury risk of the elevator on people or goods is reduced.

A wearable device operably worn by a user for monitoring musculoskeletal loading on structure inside the body of the user includes a plurality of sensors, each sensor operably worn by the user at a predetermined location and configured to detect information about a biomechanical activity of musculoskeletal tissues, a limb segment orientation, and/or a loading magnitude or location thereon; and a processing unit in communication with the plurality of sensors and configured to process the detected information by the plurality of sensors to estimate the musculoskeletal loading, and communicate the estimated musculoskeletal loading to the user and/or a party of interest.

The invention discloses a push-pull device suitable for loading and unloading molds with multiple specifications, comprising a liftable mold platform installed on a forklift body, a push-pull mechanism is installed on the mold platform, the push-pull mechanism includes a push-pull arm, and the push-pull arm is installed with a useful For the push-pull rod of the push-pull mold, the push-pull arm is installed on a fixed seat that can move on the mold platform, and the mold platform is distributed with rollers or rollers for supporting the mold and facilitating the movement of the mold. The invention is compact in structure and stable in action. The push-pull rod of the push-pull mechanism can slide along the axial direction of the push-pull arm to adjust the distance between the push-pull arms. The rapid loading and unloading conditions of various specifications of injection molds, compression molds, stamping molds, etc., to replace the existing working methods of mold loading and unloading with forklifts and driving with auxiliary devices, improve the work efficiency of loading and unloading molds, and reduce operations at the same time Risk of personal injury.

The invention relates to a method of capturing user assessment data in addition to a data capture system, and computer-executable instructions configured to compile one or more sets of user assessment data. The user assessment data compiled is preferably used to assess a user's risk of injury caused by operating a computer. The methodology of the invention employs the process of firstly receiving computer usage data, then receiving user feedback data. In some instances the invention also receives computer configuration data. This received data is compiled into a user assessment data set.

A football boot with a zip replacing laces. Easy on/off capability and no time wasted due to tying and retying laces. No pressure point and also eliminates injury risk of players tripping over undone laces.

The invention provides a passenger evacuation method for rail transit based on guides. The passenger evacuation method for the rail transit based on the guides is used for solving the problems of theempirical feature of the guide distribution scheme of the rail transit station in the prior art. The passenger evacuation method considers the initial distribution of passengers, the guidance requirements of the passengers, the station environment, the guide coordination mechanism and other information; a hybrid two-layer model is proposed for optimizing the number, location and paths of the guides in the evacuation process; the maximum coverage model is used for solving the number and positions of the guides; a heuristic method based on the co-simulation is used for determining the evacuationpath of the guides; the evacuation cost is reduced; the unreasonable behavior caused by the passengers unfamiliar with the station environment is reduced; the congestion caused by the guides leadingthe passengers to choose unreasonable paths is avoided, and thus, the average evacuation time is reduced; the evacuation efficiency of the passengers in emergency situations is improved; and the riskof passenger injury and casualties are reduced.

The invention discloses a method, device and equipment for automatically carrying out injury risk assessment and action correction on human body movement actions based on visual images. The method comprises the steps: automatically obtaining the track of three-dimensional coordinates of important joint nodes through employing a deep learning and filtering algorithm according to a human jump and landing video collected by a camera, and calculating related risk factor variables according to the coordinate track, evaluating the motion risk according to a calculation result, and giving a correction method. Related risk factors calculated by the method are results summarized by a large number of exercise injury researches. The evaluation method does not need human intervention at all, can accurately calculate the coordinates of the joint nodes and related risk factors, and gives targeted correction according to different risks of each person, so that the evaluation method has important significance in the aspect of reducing sports injuries.

The present invention discloses a vehicle safety system parameter optimization method based on a micro-traffic simulation model, applicable to reasonably selecting a control system parameter by an automobile manufacturer, to obtain an optimal effect. According to the method, a micro-traffic model consisting of multiple vehicles is established, a relationship between a set parameter and an occupant injury risk is found by changing parameters of different control systems by means of long-time random simulation, an optimization function is established, and then the function is solved by using a modern optimization method, to obtain an optimal control system parameter. According to the present invention, only natural driving data is required, and a great deal of accident data is unnecessary, so that the method is convenient in application.

The invention discloses a home-based care service scanning rescue system. The system comprises a sensing terminal, a transceiving device, an intelligent platform and a receiving terminal; the sensingterminal is used for monitoring various activity information of a user, thereby reflecting the life status thereof; the transceiving device is responsible for sending the signal of the sensing terminal to a far-end intelligent platform or receiving terminal; the intelligent platform is responsible for storing and intelligently judging the signal received by the sensing terminal, thereby realizingalarm and service response; and the receiving terminal is used for receiving hardware equipment for pushing information by the intelligent platform. The system disclosed by the invention is novel in structure, ingenious in conception; the guardian of the old people can understand the condition of the old people in real time, and the related personnel can quickly get to the old people when the oldpeople is dangerous, thereby effectively reducing the accidental injury risk caused by falling over and sudden illness and like elements in the home-based care service process of the old people.

The invention belongs to the field of sensor data processing, and particularly relates to a human body fall-reduction shockproof intelligent monitoring method and system based on multi-sensor data reinforcement learning, and the method comprises the steps: carrying out the real-time monitoring of a monitored object, and collecting the sensing data of the monitored object through multiple sensors; obtaining a human body tumble related state according to the sensing data; inputting the related state information into a semi-observation Markov decision process model to obtain an optimal execution strategy; the execution arm system executes corresponding actions according to the strategy, and the actions comprise the steps that an execution arm with the maximum protection effect is selected from execution arms of candidate parts, the execution arm is activated, an inflation command is output, and the effects of reducing falling and preventing vibration are achieved; after the execution arm action is completed, the sensor sensing data are collected again, the human body tumble related state is obtained, and then the next-stage decision support process is started; according to the intelligent air bag intervention mode based on reinforcement learning, the injury risk of falling down can be lowered in a targeted mode for patients of different falling down types.