8 results about "Attention Concentration" patented technology

A heart rate measurement and mental state detection system and a heart rate measurement and mental state detection method for measuring heart interbeat interval and detecting a direction of attention of an individual engaged in an activity are disclosed. The heart rate measurement and mental state detection and method are configured to instantaneously detect and measure focused attention of an individual during a pre-action phase before the individual performs an action involved in an activity while the individual engages in the activity.

The invention discloses an attention state detection device, and relates to the technical field of computer vision. In the device, eye movement characteristics are acquired through a first acquisition module, then behavior characteristics are determined based on the eye movement characteristics in a first determination module, and finally, the attention state is determined based on a pre-established attention stage, a pre-established mapping relation between the behavior characteristics and a threshold value and the current behavior characteristics in a second determination module. In the attention detection device, the attention is divided into a plurality of stages in advance, such as a visual search characterization stage, a sight orientation characterization stage, an attention maintenance characterization stage and an attention concentration characterization stage, and a mapping relationship among the attention stages, behavior characteristics and threshold values is pre-established, so that the attention detection accuracy is improved. According to the invention, the existing attention stage and the missing attention stage can be determined based on the mapping relation and the current behavior characteristics, so that the user can know the specific stage where the attention is missing, and the accurate judgment of the attention state is realized.

The invention relates to the technical field of medical robots, in particular to a method, a system and equipment for autonomously collecting questionnaire information of a robot with a body in a medical scene and a storage medium. Receiving the questionnaire collection task, planning a navigation path and controlling the robot to move to the position of the target patient; collecting state information of the patient; calculating an attention concentration degree value of the patient based on the eye features and the trunk posture features, and judging an emotional state category of the patient based on the facial muscle motion features; when the attention concentration degree numerical value and the emotional state category meet the interaction condition, playing a voice inquiry of the current question; receiving a voice response of the patient, converting the voice response into a response text, judging whether the response text is consistent with a preset answer format of the question, if so, storing the response text and switching to the next question, and if not, playing the guide voice and replaying the current question; after all questions are collected, a structured questionnaire record is generated, and the robot with the body is controlled to return to the charging station.

The present disclosure relates to the technical field of computers, in particular, to a word-based video recommendation method and device, medium and electronic equipment. The method comprises: determining a plurality of words to be learned and a word order of the words to be learned according to the words in a word book; determining a target definition of the words to be learned, and determining a learning video corresponding to each word to be learned according to the target definition; and displaying the learning video corresponding to each word to be learned according to the word order. In this way, for each word to be learned, the user can focus on understanding and learning the application of the word to be learned under the target definition, thereby improving the mastery and application of the word to be learned. In addition, through the display of the learning video, the real usage scenario of the word to be learned can be restored, effectively improving the user's attention concentration in learning the word, improving the user's learning pleasure, reducing the boredom of word learning, and further accelerating the speed of mastering the word.

The invention relates to an audio-visual language audience response evaluation system and method based on multi-view synchronous perception and data fusion. The system comprises an adjustable viewing angle watching platform, an audio-visual content playing module, a synchronous perception acquisition module, a subjective feedback acquisition module, a multi-modal data fusion analysis module and an evaluation result output module, eye movement data, physiological signals and behavior responses of audiences can be synchronously acquired in real time at different watching angles, and subjective feedback information is combined, so that the audiences can be evaluated in real time. And the perception intensity, the attention concentration degree, the cognitive load and the emotion titer of the audience are comprehensively evaluated. The system can be widely applied to the fields of audio-visual language content optimization, immersive medium design and audience experience research, and has the advantages of being flexible in view angle switching, high in data fusion degree, high in analysis precision and the like.

The invention relates to the technical field of intelligent analysis, regulation and control of resources, in particular to an intelligent analysis, regulation and control system for anesthesiology department operating room resources. Eye movement, physiology and operation behaviors of an operator are collected through a multimode parameter collection device group to obtain eye movement signal parameters, pulse wave signal parameters and operation behavior signal parameters, and then the attention concentration degree, the working memory load and the pressure index are analyzed and output through a multi-task deep learning model. Accurate recognition of the cognitive state of the operator is realized, and data support is provided for subsequent cognitive scene division; according to the method, the multi-dimensional cognitive state vector is analyzed through the cognitive scene division mechanism to obtain the corresponding cognitive decision scene, the cognitive decision scene is analyzed through the rendering control mechanism to output the rendering control strategy, invalid information interference and operation interaction cost are reduced, cognitive burden is reduced, decision efficiency and accuracy are improved, and user experience is improved. And the safety and the high efficiency of operating room resource regulation and control are ensured.

The present application belongs to the technical field of video management, and particularly relates to a video management method based on artificial intelligence. The method first extracts the interest value of the user during the process of watching the video through facial recognition and expression analysis, and determines the time frame of attention concentration. Then, the text features and scene features of the time frame and the key frames of the advertisement video are extracted, the cross-modal matching model is used for semantic alignment and matching score of the video and the advertisement, and the advertisements with high matching degree are screened and inserted into the video. The system further collects the interactive behavior data generated after the user watches, calculates the advertisement sticking score, dynamically adjusts the advertisement delivery strategy, and realizes the continuous optimization of the advertisement effect. The method improves the relevance of the advertisement and the video content and the user experience, and has the advantages of high precision and high adaptability.

The application belongs to the field of special education assistance and rehabilitation evaluation, and particularly relates to an immersive sensory training and evaluation method for special education needs. A method named "an immersive sensory training and evaluation method for special education needs" is disclosed, aiming to solve the problems of strong subjectivity and coarse data granularity of existing evaluation. The steps include: constructing a virtual scene and defining a standard trajectory; capturing data such as eye movement visual line, head pose and limb end in real time; comparing the actual trajectory with the standard trajectory by using the DTW algorithm, and extracting the offset and lag features; calculating the attention concentration and motion smoothness through visual line collision detection and Jerk value quantification; and finally automatically generating a digital evaluation report containing a space behavior heat map. Through the above scheme, the application realizes the transformation of evaluation from qualitative observation to quantitative analysis, significantly improving the objectivity, accuracy and scientificity of rehabilitation evaluation.