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System and method for computerized psychological content analysis of computer and media generated communications to produce communications management support, indications, and warnings of dangerous behavior, assessment of media images, and personnel selection support

At least one computer-mediated communication produced by or received by an author is collected and parsed to identify categories of information within it. The categories of information are processed with at least one analysis to quantify at least one type of information in each category. A first output communication is generated regarding the at least one computer-mediated communication, describing the psychological state, attitudes or characteristics of the author of the communication. A second output communication is generated when a difference between the quantification of at least one type of information for at least one category and a reference for the at least one category is detected involving a psychological state, attitude or characteristic of the author to which a responsive action should be taken. The content of the second output communication and the at least one category are programmable to define a psychological state, attitude or characteristic in response to which an action should be taken and the action that is to be taken in response.
Owner:STROZ FRIEDBERG

Gymnasium body-building movement identification method and device based on depth learning

The invention relates to a gymnasium body-building movement identification method and device based on depth learning, takes real-time videos as media and employs a method based on depth learning to carry out movement normalization identification. The method comprises steps that (1), data acquisition, normative movements are recorded as normative movement images; (2), data annotation, normative movement classification of the normative movement images is carried out; (3), data training, an object detection identification framework based on the convolutional neural network of the depth learning method Caffe is employed to acquire a normative movement identification model; (4), movement identification, user shooting is carried out, user movements in line with normative movement classificationof the normative movement identification model are identified; and (5), movement scoring, normative similarity scores and correction plans are outputted. The method is advantaged in that a user has noneed to wear or replace expensive equipment, cost is controllable, videos which are popular in intelligent terminals at present and are convenient to use are taken as media, precise movement data isgenerated for the user, false movements are corrected, and the better body-building effect is realized.
Owner:深圳市健匠智能科技有限公司
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