6 results about "Behavioural state" patented technology

The invention discloses a sound mixing and noise reduction method and system, and the method comprises the steps: firstly, carrying out the recognition of the emotional state of a person in a vehicle through an emotion recognition method; and then, whether the person in the vehicle has a bad emotion which can influence the behavior state or not can be judged according to the emotion recognition result. And if the person in the vehicle does not have the impatient emotion, the current noise in the vehicle does not need to be processed. On the contrary, if the person in the vehicle has a restless emotion, the sound signal in the vehicle is immediately collected through the sound pick-up. And finally, a sound wave identification method can be adopted to extract a noise feature vector of a noise sound segment which affects the emotion of people in the vehicle from the collected sound signals, and a corresponding sound mixing sound wave band is generated based on the extracted noise feature vector and is fused with the noise sound segment which affects the people in the vehicle, so that the sound mixing sound wave band becomes a sound segment which can be accepted by people. Therefore, the influence of noise on the behavior state of people is reduced.

The invention relates to a classroom abnormal behavior intelligent detection and teaching intervention system, and the system comprises a data collection layer which is used for obtaining multi-modal data in a student classroom; the multi-modal data comprises a student classroom performance image set and sound signals of corresponding time; the data standardization layer is used for carrying out preprocessing and time synchronization on the multi-modal data to obtain standardized multi-modal data; the abnormal behavior detection layer is used for inputting the standardized multi-modal data into a behavior state classification model to obtain a behavior classification result; the behavior classification result comprises a behavior type, behavior duration and an intervention level label; the intervention decision-making layer is used for generating a teaching intervention instruction by utilizing the behavior classification result based on intervention decision-making logic; the teaching intervention instruction comprises a system prompting instruction and a teacher intervention reminding instruction. By adopting the system, behaviors of students can be identified and classified, targeted intervention is performed, the classroom teaching efficiency is improved, and the system assists in reminding the students to quickly return to a normal learning state.

This application provides a game behavior planning method, apparatus, computer device, and medium. The method includes: acquiring the current state information and target task planning of a non-player character in the game, wherein the current state information includes the current behavior and the current behavior state, and the target task planning includes the target behavior state; quantifying the current behavior state and the target behavior state, and calculating the distance between the quantified current behavior state and the target behavior state; acquiring behavior route information from an action library based on the distance, using the current behavior as a reference; and performing behavior planning on the non-player character based on the behavior route information, so that the non-player character completes the target task planning. The method proposed in this application can acquire the behavior route of the non-player character according to a given target task planning, and then control it to complete the target planning. This method improves the development speed of the non-player character, and the behavior range of the non-player character is wide, which can improve the player's user experience.

The invention discloses a student management system and method based on classroom behavior recognition, and belongs to the field of education and teaching, and the system obtains classroom video data based on the multi-angle visual collection and microphone array signal collection technology, obtains classroom audio signal data at the same time, and achieves the student management based on target detection, key point posture recognition and time sequence behavior recognition. The method comprises the steps of extracting spatial trajectory and behavior state information of students in a classroom, obtaining audio feature parameters of student emotion activeness and classroom participation degree based on voice signal framing analysis, voice signal feature extraction and a deep emotion recognition network, and obtaining association between the students and teaching based on audio and video feature fusion and a student behavior right reconstruction model. Student groups are subjected to grouping analysis through a clustering algorithm, a teaching mode is recommended in a personalized manner based on attraction characteristics, and real-time evaluation and intelligent improvement of classroom teaching quality are realized.

The invention provides physical targets for training, including targets (101) for projectiles fired by non-ballistic ammunition such as paint marker rounds. The targets can be used for detecting the impact of a projectile, with the target including a body (103) and plurality of sensors mounted on the body for detecting an impact of a projectile on the body. Each sensor provides an output representing a detected impact. A processor receives the sensor outputs and determines, from the sensor outputs, a location at which the projectile impacts the body. The target may also include one or more domain actuators (202) controlling actions of the target based on a current behavioural state of the target.