18 results about "Panic" patented technology

A device relating to a floater for use by a non-swimmer for buoyancy comprising a floating flatbed with coded descriptions (lateral ends: front end 14, back end 12) and a plurality of paired straps with buckles (20,22) to secure the floater flatbed (10) fixed in the swimmer’s body. This is designed to keep the non-swimmer afloat while concentrating on their hand and leg exercises. The floating flatbed is wrapped either at the upper limbs posterior or anterior portion of the body; a webbing belt with safety mechanisms buckled around the body which can be fixed at the levels; waist, abdominal, and upper back (posterior) or chest part (anterior). An adjustable strap is buckled across shoulders (24, 26) to fasten the device in place below the jaw with a plane surface of a floater which allows use purposely for either supine or prone floating mechanics fundamental in learning the basic skills for any appropriate floating position. Apparently, problems like drowning and other water accidents happen in just any part of the globe usually caused by panic and water anxiety. The device contains characteristics easy for use by non-swimmers at any age level for water safety and training device for non-swimmers particularly those who manifest water anxiety. Acquired skill in floating somehow creates mental alertness as a greater opportunity for survival during atrocities.

The invention discloses a pedestrian dynamic modeling method and device considering panic emotion and a medium, and the method comprises the steps: firstly completing spatial discretization, static field calculation and obstacle processing through scene initialization, determining the distance from a grid to an exit through Euclidean distance, generating a static field value, and determining the spatial constraint of pedestrian motion; then, in a pedestrian motion calculation link, a multi-dimensional dynamic coupling panic factor quantification system is innovatively constructed, crowd density, environmental stimulation intensity, distances between pedestrians and stimulation sources and the like are synthesized, accurate quantification of panic emotions is achieved through a distance attenuation and time attenuation mechanism, and the panic emotions are deeply bound with motion parameters. According to the method, through deep fusion of the panic emotion and the OSM model, irrational behaviors and differentiated movement tracks of pedestrians in an emergency scene are effectively reproduced, the simulation precision of a complex evacuation scene is remarkably improved, a scientific quantitative basis can be provided for evacuation scheme optimization and crowd management and control strategy formulation, and the method is of great significance in improving the public safety management level.

The application relates to the technical field of patient accompanying, and specifically provides an intelligent multi-dimensional management system for critical patients, which comprises an intelligent display terminal, an accompanying program is built in the intelligent display terminal, a fingertip controller, the accompanying program is controlled by the fingertip controller through acquisition of finger actions to select corresponding functions, wherein the fingertip controller comprises a direction control module, finger actions are acquired to control a cursor in the intelligent display terminal to move up, down, left and right along a screen, and a determination button module is used for acquiring actions of another finger to input confirmation and power-on / off instructions; the accompanying program in the intelligent display terminal enables the critical patient to make a video call with family members, watch videos and play small games, a rehabilitation mode with full participation of the family members is created to relieve the fear and anxiety of the critical patient, and thus problems such as anxiety, panic and delirium of the patient in an intensive care unit are prevented.

The invention discloses an emergency broadcasting method, a terminal and a storage medium. The method comprises the following steps: receiving an environment audio and video stream; separating human voice and environment voice categories based on the prompt vector; performing audio-visual cooperative positioning based on human voice, and extracting a face image; performing anti-shielding tracking on the target, and outputting continuous coordinates; human voice and human face features are fused to analyze emotion, and a panic index is output; in combination with the coordinates, the panic index and the environmental sound category, generating a safety guidance instruction through neural symbol reasoning; generating voice according to the instruction and performing psychoacoustic modulation based on the panic index; and finally generating beam forming parameters based on the coordinates. According to the method, the technical problem that the traditional broadcast cannot generate and precisely project the voice instruction with the psychological pacifying effect according to the specific position and the real-time psychological state of the target in a complex disaster site is solved.

The application discloses a sound stimulation self-adaptive regulation system based on abnormal state identification, wherein a signal acquisition and calculation module calculates an anxiety index by acquiring various physiological and motion sensing data of a user in real time; a panic identification and alarm module first corrects a motion state according to the motion sensing data, then runs a rapid threshold path and an unsupervised model path in parallel, and outputs a panic attack alarm signal and an abnormal intensity score; a sound stimulation control module selects a sound stimulation mode according to the output of the panic identification and alarm module and the anxiety index, and outputs corresponding sound stimulation according to an individualized file of the user; and a parameter optimization learning module evaluates the effect of sound stimulation in real time during the stimulation intervention process of the sound stimulation control module each time, optimizes stimulation parameters in the next step, and files and learns whole-process data after the intervention ends. According to the application, early and accurate identification and timely intervention of a panic attack state can be realized.

By detecting panic situations and providing a host device detailed panic data and mitigation options before the panic situation condition occurs, failure of data storage devices may be reduced. Several mitigation options may be presented to the host device upon detection of a future panic situation, such as adjusting read performance; increasing device power; performing evacuation and management operations; and / or redirecting host commands to another data storage device for command completion. When the other data storage device is in the same PCIe tree and reachable, the command may be directed with PRPs / SGLs that point back to the same host device. In some embodiments, the data storage devices may have a submission queue between them. In some embodiments, the data storage device comprises a panic early detection module and a panic control module.

The utility model relates to the technical field of mortar, and provides a frontier defense portable mortar shell anti-refilling detection device which comprises a mortar body. The sleeve shell is arranged on the gun barrel in a sleeving manner; the centering clamping assembly is arranged on the sleeve shell; the fixing assemblies are symmetrically arranged on the centering clamping assembly and used for fixing the sleeve shell; a power switch is manually pressed to activate a detection mechanism in a sleeve shell, then a system self-inspection indicator light is lightened after two seconds, so that whether the detection mechanism is normal or not is checked, then when a filling safety indicator light turns green, a driving assembly drives a blade of an iris closing assembly to retract, and shells can be normally filled; on the contrary, when the red is bright, the driving assembly does not work, the iris closing assembly continues to be closed, and shell filling is stopped, so that the shell filling condition in the mortar barrel can be displayed in real time, soldiers can conveniently and accurately recognize whether the bullets are excited or not, the panic psychology of live shell shooting training of the soldiers is relieved, and shooting safety accidents are prevented.

The invention relates to the technical field of crowd evacuation guiding, in particular to a crowd dynamic evacuation guiding method based on an emotional infection model, which comprises the following steps: acquiring multi-source sensing data such as a crowd density thermodynamic diagram, panic scream frequency distribution and real-time passage counting of gates at entrances and exits of a target place; after carrying out space-time alignment on the crowd density thermodynamic diagram and panic scream frequency distribution, inputting an emotional infection propagation model to generate a dynamic emotional field distribution diagram; calculating an instantaneous evacuation potential value of a candidate evacuation channel in combination with real-time passage counting, and screening a priority evacuation channel set; and extracting channel surrounding environment constraint parameters to generate a path weight matrix with physical capacity limitation, superposing emotional excitement indexes to remove conflict paths, and determining a final guide path set. According to the method, more accurate and more efficient crowd dynamic evacuation guidance can be realized.

By detecting panic situations and providing detailed panic data and mitigation options to the host device before the panic situation occurs, data storage device failure can be reduced. Upon detection of an impending panic situation, the host device can be offered several mitigation options, such as adjusting read performance; increasing device performance; performing swapping and management operations; and / or redirecting host commands to another data storage device for command execution. If the other data storage device is in the same PCIe tree and reachable, the command can be redirected using PRPs / SGLs that point back to the same host device. In some embodiments, the data storage devices can have a transmission queue between them.In some embodiments, the data storage device includes a panic early warning module and a panic control module.

A panic behavior recognition method and system based on a panic semantic model, and a medium. The method comprises the following steps: invoking an AI interface to perform real-time recognition on an audio stream to obtain semantic information, and by means of the semantic information and a basic concept, performing hierarchical division, and recognizing key speech segments; on the basis of a locating coordinate matrix, determining the specific hierarchical level and position of each key speech segment; and on the basis of the specific hierarchical level and position, using a description matrix to obtain the weight of the key speech segment, performing consistency matching on the degree of panic in a scenario, and determining whether a panic behavior has occurred, wherein the construction steps of a panic semantic reasoning network model are as follows: selecting a panic scenario as a description object; using a web ontology language to define a basis concept in the selected panic scenario; supplementing knowledge elements in the panic scenario, in order to improve a panic semantic model; and defining a reasoning rule, and constructing the panic semantic reasoning network model. Compared with the prior art, the method improves the accuracy of pedestrian panic behavior recognition.

This invention relates to a method and apparatus for identifying audio features of panicked pedestrians screaming. The method includes: extracting audio from a video; extracting audio features from a first frequency band of the audio and calculating the audio energy distribution; dividing the audio energy into intervals and establishing a panic behavior audio feature identification matrix model; and determining the behavior type and gender in the audio based on the audio feature identification matrix model. Compared with existing technologies, this invention identifies the screaming behavior of panicked pedestrians by analyzing audio features and establishing a panic behavior audio feature identification matrix model, exhibiting robustness and environmental adaptability.

This utility model provides an anti-panic device for descent devices, belonging to the technical field of high-altitude installation devices. It solves the problem that existing descent devices, due to incorrect installation or operational errors, can cause a sudden, explosive fall that easily triggers panic. This anti-panic device includes a descent device body with an internal rope reel; a drive shaft is located at the center of the rope reel; an anti-panic device is located on the side wall of the descent device body; the anti-panic device has a follower turntable and a locking disc; the follower turntable is engaged with the drive shaft; the follower turntable has several locking pawls; the follower turntable also has a shaft with several limiting locking ratchet teeth; the inner wall of the locking disc has several concave teeth; a counterweight protrusion is located at one end of each locking ratchet tooth, and a limiting groove is located at the other end; a spring is located between the limiting groove and the follower turntable. This utility model has the advantages of being easy to use, preventing panic, and preventing sudden impacts.

This invention discloses an emotion training system and method based on multi-sensory intervention and AI dialogue, belonging to the field of computer application and artificial intelligence technology. The system achieves proactive intervention throughout the entire cycle of panic attacks or acute anxiety attacks through the collaborative work of a multi-sensory intervention module, an AI dialogue system, a user data recording and feedback subsystem, and a peak detection state machine. The method includes: initiating AI dialogue and collecting multi-source evidence data; presenting dynamic storm visual effects, playing audio and vibration stimuli; calculating the emotion intensity curve I(t) based on real-time physiological proxy data (heart rate HR, skin conductance response GSR) and interaction data; automatically switching the stimulation parameters between peak and non-peak periods when the multi-source evidence score meets the threshold condition; calculating the amygdala sensitivity index (ASI), prefrontal control index (PCI), growth score (G), and courage index (CI) after the session ends, and generating a training report. This invention overcomes the limitations of traditional psychological applications that rely on a single sensory focus and passive relief, achieving closed-loop training with real-time detection, dynamic intervention, and effect quantification during the attack period.

A method for recognizing panic behavior based on panic semantic analysis includes: calling an AI interface to recognize audio streaming as semantic information in real-time, and performing, based on the semantic information and a basic concept, layered division to recognize key phrases; determining a specific layer and a position of each key phrase according to a position coordinate matrix; and obtaining a weight of each key phrase according to the specific layer and position using a description matrix, and performing consistency matching on a panic degree in a scene to determine whether the panic behavior occurs. Establishment steps of the panic semantic reasoning network model include: selecting a panic scene as a description object; defining a basic concept in the panic scene by using OWL; supplementing knowledge elements in the panic scene to improve the panic semantic model; and defining reasoning rules to establish the panic semantic reasoning network model.

This invention discloses a multi-agent reinforcement learning method and apparatus based on a panic attention mechanism. It includes: constructing the local state space, action space, and deterrence effect index of the drones based on local observations; constructing individual policy networks for each drone; constructing individual value networks for each drone; and, with the objective of maximizing the expected cumulative reward of the deterrence effect index over the entire optimization period, jointly optimizing the network parameters of the policy networks and value networks of all drones using experience replay and target network mechanisms, so that each policy network learns the optimal cooperative deterrence strategy. This invention provides a specialized reinforcement learning training method for drone swarm psychological deterrence formations, achieving improvements in training efficiency, strategy quality, security, and deployability.

The application discloses a simulation method for emotional contagion in a sudden public event based on an improved SIRS model, gives a function for quantifying the panic emotion of pedestrians, and gives a calculation method for related time-varying parameters of panic emotion contagion in a crowd based on the contagion mechanism of an infectious disease.The application comprises the following steps: a three-dimensional simulation modeling of a public place with a sudden accident is performed by using a computer simulation software; an emotion function for quantifying the risk perception of pedestrians is proposed, and the emotion values of the pedestrians to be evacuated are randomly set; the emotion states are divided according to the risk perception degrees of the pedestrians; the calculation method for related time-varying parameters of panic emotion contagion in a crowd is determined; an SIRS state transition relationship considering the risk perception and self-emotion regulation of the pedestrians is established; the evacuation speed of the pedestrians under the emotional contagion is determined, and simulation is performed; and the application can reflect the phenomenon that the pedestrians have panic emotions when a sudden event occurs and the panic emotions spread in a crowd, thereby providing decision support for preventing and managing the sudden event, especially simulating the crowd evacuation process after the event and formulating an evacuation scheme.

According to the evacuation guidance system and method based on local station re-planning, the medium, the program product and the terminal provided by the invention, each station is only responsible for bringing personnel to a next safer position, so that an overlong instruction is prevented from being given in a complex environment, and the understanding cost and the execution cost are reduced. According to the method, the evacuation guidance information is played in a personification and emotion pacifying mode through the virtual digital human, the method has better compliance compared with a pure sound and light alarm, and panic diffusion can be effectively reduced especially under high-pressure situations (such as smoke, crowding and tension). According to the invention, each station recalculates the next route during evacuation guidance through the local re-planning module, dynamically shields danger and congestion and adjusts the evacuation path in real time, so that the robustness and reachability of the evacuation path are obviously superior to those of one-time global planning. According to the invention, after the evacuation personnel confirm to enter the safe area, the system can automatically stop the further guiding state of the evacuation personnel, and redundant tracking is avoided.