31results about How to "Assisted learning" patented technology

The teachings described herein are generally directed to a system, method, and apparatus for learning music through an educational audio track embodied on a computer readable medium. The system can comprise components including a processor, an input device, a database, a transformation module, an emulation recording module, an integration engine, an output module, and an output device, wherein each component is operable in itself to perform it's function in the system and operable with other system components to provide a system to a user for learning music.

The present invention provides a disposable educational drinking device for learning such things as the letters of the alphabet or numbers or geometric shapes. The disposable drinking device can be converted to a reusable drinking device. The disposable drinking device also has a mechanical mean to center drinking spout between handles.

An athletic training device capable of providing elastic resistance and associated methods of use for training a user to maintain optimal positioning of the user's hands during certain athletic activities. The device includes a wrist strap, a foot strap, and a thigh strap and an elastic tether of an adjustable length with the thigh strap configured to freely move along and about the elastic tether.

The invention relates to the technical field of human body model reconstruction, in particular to a three-dimensional human body model reconstruction method, storage equipment and control equipment, and aims to solve the problems that a three-dimensional model reconstruction result is not aligned with a two-dimensional image and the like. The reconstruction method comprises the steps that according to a human body image, adopting a pre-trained full convolutional network module to acquire a global UVI image and a local UVI image of a human body part; estimating camera parameters and shape parameters of the human body model by using a first neural network based on the global UVI graph; based on the local UVI graph, utilizing a second neural network to extract rotation features of each articulation point of the human body; based on the rotation characteristics of each articulation point of the human body, improving the rotation characteristics by utilizing a characteristic improvement strategy based on position assistance to obtain improved rotation characteristics; and estimating attitude parameters of the human body model by using a third neural network according to the improved rotation characteristics. According to the method, the human body model can be reconstructed more accurately and efficiently, and the robustness of attitude estimation is improved.

A system for encouraging an understanding of visual art includes a set of collectible cards (20, 36, 38, 40, 42). Each of the cards (20, 36, 38, 40, 42) includes an image (26) of an artwork on a first side (22) of the card. Information pertaining to the artwork is provided on a second side (24) of the card. The information is in the form of stylized brushstrokes (30), color codes (52), text, and icons. Through the use of the stylized brushstrokes (30), color codes (52), text, and icons, a method is thus provided for collecting and organizing the images.

A system and method for teaching users reading comprehension. In an aspect, user's educational teaching system and method utilizes visual representations on a user's device display of a focusing point called a Bindu and a viewpoint called a Mind's Eye to assist in the learning of words. The combination of the Bindu with the Mind's Eye force a user to align the two with one another in order to present an unobstructed view of a 3-D representation of 2-D letters, numbers, punctuations, and words.

A system is provided for waking a user up by a stimulus, wherein the stimulus is adapted to vary according to an intensity curve. A user interface is adapted to receive user preferences, such as a desired wake-up time and a preference indicator. The preference indicator indicates whether the user prefers to be more alert after waking up or to have a longer sleep. An alarm is used for providing a stimulus to the user and a processor is used for determining a stimulus intensity curve for the alarm. Determining the stimulus intensity curve is based on at least the user preferences.

The embodiment of the invention discloses a method for collecting new words based on voice search and electronic equipment. The method comprises the following steps: using the update time point of thelatest search record of a certain new word as a starting time point and using a current time point as a termination time point of the electronic equipment; and when the duration between the update time point of the latest search record of the certain new word and the current time point is judged to be longer than preset duration, determining that the mastery of a user for the certain new word meets a preset requirement, and removing the certain new word and a corresponding search record from a new word bank. Through implementation of the method in the embodiment of the invention, the intelligent function of the electronic equipment can be utilized to realize automatic collection and removal of new words, assist the user in learning and improve the learning efficiency of the user.

The invention relates to a flight simulation training platform. The side view of a workbench is of an L-shaped structure; a touch screen and a control box panel which is buckled to the exterior of a control box are arranged on the outer surface of the upper part of the workbench; an operation panel is arranged below the touch screen; a computer is arranged at the inner side of the lower part of the workbench; and the computer is electrically connected with the touch screen, the control box panel, and the operation panel. The flight simulation training platform of the invention has the advantages of structural simplicity and operational easiness. With the platform adopted, the daily operation of a simulation flight station can be simulated; repair, maintenance and the like can be demonstrated; and unnecessary loss caused by misoperation in the application of a real aircraft can be avoided, and expenditure costs can be reduced.

The invention relates to a building indoor learning efficiency detection method and system. The method comprises the following steps: S1, acquiring electroencephalogram signal data; S2, preprocessingthe acquired electroencephalogram signal data; S3, extracting energy features of the preprocessed electroencephalogram signals under different electrode channels through features; and S4, taking the energy features under corresponding electrode channels of the feature extraction as input features, and inputting the input features into a BP neural network to realize classification of learning attention. Energy features of the electroencephalogram signals under different electrode channels are extracted through features, and are taken as input features of a subsequent classifier, and the attention state of a learner is accurately reflected; accurate classification of electroencephalogram signals is realized; and accurate, stable and reliable measurement of the concentration degree of the attention electroencephalogram signals is realized, and wide influence is generated on attention action mechanisms in human brains in psychology and neurophysiology.

The invention provides a system and a method for inquiring vocabularies. The method comprises the followings steps of: 1) establishing a database for storing multiple groups of homophonous vocabularies and contents thereof; 2) inputting a character string to be inquired; 3) inquiring the vocabularies and the contents thereof with the same sound as that of the input character string in the database and accordingly, generating a candidate vocabulary list; 4) outputting the candidate vocabulary list; and 5) selecting or determining the vocabulary to be input from the candidate vocabulary list. The system and the method are used for inquiring the homophonous vocabularies and the contents thereof, so effects of improving input correctness and assisting users in learning are achieved.

The invention belongs to the technical field of computer information processing, and provides a paper book information extraction method, device and system, electronic equipment and a computer readable medium. The method comprises the following steps: scanning a paper book page by page to generate a plurality of page pictures; extracting a part of page pictures from the plurality of page picturesaccording to the scanning information of the paper book to generate a first picture set and a second picture set, the first picture set comprising a plurality of first page pictures, and the second picture set comprising a plurality of second page pictures; splitting the first picture set according to a preset condition to generate a plurality of first picture subsets; and sending the plurality offirst picture subsets to a plurality of clients for information extraction. According to the invention, test questions and answer contents in the existing paper teaching aid book can be quickly and accurately collected, and timely and rich digital test question and answer information can be provided for the user.

The invention discloses a lexical association display system and a method for the same. The lexical association display system displays the candidate words and the associated words in an online way, and sets the execution times. In this way, the candidate words and the associated words form a grid pattern. By the lexical association and the graphic rendering of the grid pattern, the lexis learning effect and memorizing efficiency of the user can be enhanced.