77 results about "Attention focus" patented technology

A computer (16) for capturing a colored moving image photographed by photographing means (14, 15) has an extraction means for extracting images having necessary swing postures as check-point images from a large number of still images constituting the color moving image; a means for obtaining a coordinate of a position of each of attention-focused points, which operate, in each of the check-point images, while a golfer (11) is swinging; a means for diagnosing a golfer's swing form by setting a plurality of diagnosis items for each trajectory pattern obtained by a ball motion measuring apparatus (20) to classify behavior of a golf ball and by comparing numerical data generated from data of the coordinate of the position of each of the attention-focused points with a judgement value set in each of a plurality of diagnosis items; and a means for outputting an advice drill corresponding to a result of a diagnosis.

The invention discloses an intelligent analysis method for student classroom learning interest. The method is characterized in comprising the following steps that: collecting a scene image in a classroom, and positioning a face in the scene image; estimating a head gesture in a face area, and evaluating the cognition attention focusing degree of a student according to the head gesture; in the facearea, estimating a facial expression, and evaluating the learning emotions of the student according to the expression; recording the interactive answering frequency and the accuracy of the student inthe classroom, and evaluating the degree of participation of the student according to the answering frequency and the accuracy; and blending three-dimensional information, including the cognition attention, the learning emotions and the degree of participation in the classroom of the student to analyze the learning interest of the student. The invention also provides a system for realizing the above method. When the method is applied, the learning interest of the student in the classroom can be objectively and accurately monitored and analyzed in real time, real-time feedback can be providedfor lesson giving teachers, and the lesson giving teachers can be assisted in regulating a teaching way in time to improve a teaching effect.

A golf swing-measuring system including a computer (16) for capturing a colored moving image obtained by photographing a golfer (11) who swings by gripping a golf club (13). The computer (16) selects and extracts one or more images each showing a swing posture as check-point images such as an address image, a take-back shaft 8 o'clock image, a take-back shaft 9 o'clock image, a take-back unskillful arm horizontal image, a top image, a downswing unskillful arm horizontal image, a downswing shaft 9 o'clock image, an impact image, a follow-through shaft 3 o'clock image, and a finish image and extracts from a large number of still images constituting said color moving image. Thereafter the computer (16) obtains coordinates of positions of attention-focused points that operate in said check-point images when said golfer swings.

The invention discloses a device and a method for detecting attention focusing degree based on the analysis of heart rate variability, mainly solving the problems of large interference and inconvenient testing of reference signals for attention judgment in the prior art. The method comprises the following testing steps: acquiring original electrocardiographic digital signals according to a MV5 lead mode; filtering the interference in the original electrocardiographic digital signals, extracting the position of a R wave and calculating heart rate variability signals; integrating and segmentingthe heart rate variability signals; performing empirical mode decomposition on each segment of the heart rate variability signals; calculating the approximate entropy of the heart rate variability signals and intrinsic mode function component signals; training a neutral network by using the calculated approximate entropy as an input vector of a reverse transmit neural network algorithm, and determining the parameters of codes of a neutral network; and detecting the attention focusing degree of a subject by utilizing the trained neutral network and outputting the test result. The invention hasthe advantages of large reference signal strength, convenient test and high accuracy, and is used for testing the attention focusing degree of a human body.

The invention provides an image description generating method based on a neural network and image focuses. The method is characterized in that an original one-layer word embedding structure is replaced by a two-layer word embedding structure, and accordingly word expression can be learned effectively; image feature expression is directly used as the input of an m-RNN model, and accordingly the capacity of a circulating layer can be fully utilized, and the small-dimension circulating layer can be used; by a decision soft attention mechanism, the attention of an image salient region is reflected and used as one input of a multi-modal layer. By the method, the focus relation between targets or scenes is utilized effectively, and the semantic features of the image is described in a targeted manner.

The invention discloses a precise interactive digital television advertisement putting system, which comprises a user data collection and analysis module, an advertisement content processing module and an advertisement pushing module. Meanwhile, the invention also discloses a precise interactive digital television advertisement putting method. The system is provided with the user data collection and analysis module, so that the operation condition of a user on an interactive digital television can be recorded, and the interest and the attention focus of the user are analyzed according to the use log of the user. Then, the advertisement of the corresponding content is selected to be purposefully put by using the advertisement pushing module according to the interest and the attention focus of the user, so that the advertisement effect is increased to the greatest extent, meanwhile, the bother of the advertisement content that the user is not interested to the user is reduced, and good development of interactive digital television advertisement putting is realized.

An object is to provide a transistor in which light deterioration is suppressed as much as possible and electrical characteristics are stable, and a semiconductor device including the transistor. The attention focuses on the fact that light is reflected by a film used for forming a transistor and multiple interaction occurs. When the optical thickness of the film which causes the reflection is roughly an odd multiple of λ₀/4 or roughly an even multiple of λ₀/4, reflectance in a wavelength region of light which is absorbed by an oxide semiconductor is increased without a loss of a function of the film with respect to the transistor, whereby the amount of light absorbed by the oxide semiconductor is reduced and an effect of reducing light deterioration is increased.

The invention relates to an objective advertisement design evaluation method based on a visual attention mechanism. The method overcomes the defect that the subjectivity of the traditional advertisement design evaluation method is too strong. The method comprises the steps of firstly, performing significance detection on a plane advertisement image to obtain significant areas which can reflect areas of interest of human eyes; generating an attention focus according to the significant areas in the plane advertisement image in combination with a WTA competitive mechanism and a no-return mechanism, wherein the obtained attention focus can reflect the degree of significance of each significant area of the plane advertisement; and judging whether pre-expression information areas of the advertisement attract the attention of advertisement audiences according to the significant areas of the plane advertisement, wherein the generated attention focus can further show the degree of attraction of each pre-expression information area in the advertisement image. The method sufficiently utilizes the simulation of a significance detection algorithm on the selective attention mechanism of a human eye visual system, provides an objective and scientific reference for advertisement design evaluation, and has extremely important application value in the advertisement marketing field.

The invention discloses a generating method and device for a verification code. According to the method, statistical operation is performed on browsing behavior information of each web page which is accessed by a user through a browser of a mobile terminal, and an attention focus of the user is obtained according to a statistical result; advertising data are selected according to the attention focus; the verification code is generated by the aid of the advertising data and pushed to the browser. According to the technical scheme, user's impressions on advertised products are strengthened, promotional effects of advertisements are improved, and the user experience is improved.

The embodiment of the invention provides a method and a device for displaying search terms. The method comprises the following steps of: obtaining search information in a search bar, and generating the search terms related to the search information according to the search information; displaying the search terms related to the search information; detecting touch operation input by a user in a set area, wherein the set area is an area except for the search terms; and displaying the search terms related to the touch operation in the search bar according to the touch operation. According to the method provided by the embodiment of the invention, a user can select a corresponding search term through inputting the touch operation in the set area, and the selected search term is displayed in the search bar, so that the selectivity efficiency of the search terms is improved; and in a touch operation input process, an attention focus and a sight of the user are kept in the set area without moving up and down along with swipe gesture, so that the eye strain of the user can be reduced.

A system and method for nexting is presented. The method comprises computing an expected event, observing a new event, when the expected event matches the new event, processing the new event and performing action in accordance with given concepts, when the expected event does not match the new event and the new event can be explained based on the given concepts, processing the new event and performing action in accordance with the given concepts, and when the expected event does not match the new event and the new event cannot be explained based on the given concepts, employing learning mechanism and performing action decided on by the learning mechanism. In one aspect, the method comprises generating new concepts using reasoning or learning. In one aspect, the method comprises converting sensed numerical data into events of interest via the application of learned functions operating on the numerical data.

The invention discloses an attention characteristic identification method, and is provided with an attention normal form model. The invention is characterized in that the attention normal form model comprises attention focusing periods and interval rest periods, wherein the attention focusing periods and the interval rest periods are alternately arranged; and each attention focusing period is thata user is under an attention paying state so as to train the attention of the user, and each interval rest period is that the user is under a rest state. Compared with the prior art, the attention characteristic identification method has the following beneficial technical effects of: firstly, due to the staggered arrangement of the attention paying states and the rest states constructed by the attention normal form model, the structure can provide break time for the user and also can assist in training to improve the ability of the user for entering the attention paying state from a noisy state and the rest state; and in addition, the system can distinguish data on a time axis in virtue of a circulation structure so as to be convenient in implementing a data comparison mechanism and discovering data under a non-attention-paying state as much as possible so as to improve judgment for the attention paying state.

With attention focused on the most significant bit (sign indicating positive or negative) of a soft decision value, the present invention provides a method of deciding whether iterations of soft decision decoding of turbo decoding should be terminated or not. A change of a positive/negative bit value included in a soft decision result for each bit of a received codeword is monitored. When the values of the positive/negative bits cease to fluctuate and such a tendency is observed for almost all bits of the received codeword, it is decided that the positive/negative bits have converged. Termination of iterations of soft decision decoding is determined based on the decision result.

The invention discloses an attention focus measuring method, and the method comprises the steps: carrying out the real-time measurement of the offset data of the head part of a tested object, and estimating the position of the attention focus of the tested object according to the measurement data; removing a part of group attention focus measurement errors caused by the distraction of the attention of the tested object through abnormality discrimination and clustering. The method provided by the invention is used in a classroom environment for monitoring the class conditions, can provide reliable and visual data for knowing the learning states of students in the classroom, and is higher in value of monitoring the learning conditions of the students in the current classroom teaching.

The invention provides a seat capable of reminding students of focusing attention. The seat comprises a seat body, and the seat body is composed of a seat back 1, a seat cushion 2, a metal seat frame 3, an attention focusing detection device 4, an attention focusing reminding device 5, a connection wire 6 with a protective cover and the like. The seat is characterized in that an existing student seat is used as a main body, a groove is formed in the seat back 1 for installation of an attention focusing detection device 4, a groove is formed in the seat cushion 2 for embedding of the attention focusing reminding device 5, and the attention focusing detection device 4 is connected with the attention focusing reminding device 5 through the connection wire 6 with the protective cover, thus the seat capable of reminding the students of focusing attention is prepared.

An image privacy perception method based on deep learning, including the following steps: S1, building a privacy classification data set with labeled categories, and training a privacy perception network with a transfer learning method; S2, recognizing a privacy image using a deep convolutional neural network oriented to privacy perception; and S3, extracting an attention profile according to deep convolutional features of the neural network, and locating an attention focusing region to complete the perception of an image privacy region. The method has the following beneficial effects: by completing end-to-end training and testing based on the deep neural network, the privacy image can be accurately distinguished with the privacy region located, facilitating the selective protection of the privacy information in the image.

The invention provides a tour inspection method based on MR or AR, an MR or AR facility and a tour-inspection system. According to the method, the model of a tour-inspection target is established, a three dimensional virtual scene corresponding to the real scene is generated; the only ID corresponding to a sub-target in the real scene is allocated to a sub-target in the virtual scene; the three dimensional virtual scene is displayed by the MR or AR facility, a tour-inspection person wears the MR or AR facility during the tour-inspection process and aligns the three dimensional virtual scene with the real scene so as to overlap the virtual scene and the real scene; when the MR or AR facility aligns with the sub-target in the real scene, the ID of the sub-target in the three dimensional virtual scene is obtained, the eye stay time on the sub-target of the facility is counted and recorded, according to the time on each sub-target of the facility and eye stay period on each sub-target of the facility, an attention focusing pattern can be drawn, based on the attention focusing pattern, the tour-inspection situation of the tour-inspection person can be judged, and thus the working achievement of the tour-inspection person can be evaluated objectively and automatically.

The invention discloses an attention-based blocking target detection method. The method comprises the steps of firstly determining an attention focus for a picture, randomly specifying the picture at first, finding a small region of interest, then creating three picture blocks with proportional sizes by taking the small region of interest as a center, and then zooming the picture blocks to a same size; inputting three obtained pictures to a recurrent neural network, then generating two outputs by the recurrent network, and inputting one output to a locating network to generate locating information for re-determining a target focus of interest in the picture; and inputting the other output to a fully-connected network for determining whether a currently generated picture block is an object or not, and if yes, obtaining feedback of 1, otherwise, obtaining the feedback of 0 and serving as a reinforcement learning signal.

The invention discloses a method for adaptively displaying an image by taking a visual transfer mechanism as a guide, which comprises the following steps of: (1) constructing a visual attention model to obtain a final saliency map; (2) based on the saliency map, sequentially finding points with maximum saliency values from the saliency map according to a competitive mechanism; and (3) determining a final display strategy according to the size of a target saliency screen, a transfer sequence of attention focuses and distances among the attention focuses. By the method for adaptively displaying the image by taking the visual transfer mechanism as the guide and further regulating the accumulated energy of the saliency map after the display strategy is determined, an important reference is provided for the conventional adaptive method for performing cropping and seam carving only according to the accumulated energy, so that a user can fully understand image contents in an adaptive process, and less content loss and better user browsing experiences can be realized for the image with a plurality of salient regions.

A multi-dimensional attention focusing ability evaluation method relates to the field of a user behavior data processing technology, in order to solve the problem of low accuracy existing in the priorart when traditional clinical medical methods are used to quantitatively evaluate the comprehensive ability of individual concentration response. On the basis of acquiring interaction data in the graphic and image man-machine interactive system, the comprehensive ability of individual concentration is quantified according to the information of each dimension distribution of group concentration ability, and the intelligent probability evaluation is completed with high accuracy. The method can be used for assisting and simplifying the work flow of medical care and evaluation experts and improving the work efficiency.

The invention belongs to the technical field of image processing, in particular to a vehicle logo positioning method. Most of the existing vehicle logo positioning methods use traditional methods, thepositioning rate and robustness are poor. The invention provides a vehicle logo positioning method, which comprises the following steps: step 1): acquiring a vehicle front face image; 2) extracting primary features of that image; 3) calculating and fusing that final saliency map by adopting a multi-scale spectrum residual method, dividing the saliency map into a plurality of sub-salient regions,and forming a plurality of attention focuses; Step 4), calculating the complexity of each area; step 5), adopting the improved ant colony algorithm to optimize the focus transfer path; step 6), determining the vehicle logo area. The vehicle logo positioning algorithm of the application has better positioning rate and robustness.

The invention discloses an attention detection method fusing multiple discrimination technologies. The method comprises three stages of human face posture estimation, human face expression analysis and upper body behavior analysis; collected images are subjected to human face posture estimation, human face expression analysis and upper body behavior analysis through a fusion multiple discrimination technology, and then a final attention detection result is obtained in combination with analysis results of the three stages. According to the technology of the invention, no tool is needed, the detection cost is greatly reduced, the economic benefit is improved, and the quantitative analysis of the attention is realized; the attention is divided into four conditions of inattention, attention relative concentration, attention concentration and attention focused concentration according to the quantitative result, and the attention detection accuracy is greatly improved.