68 results about "Attention training" patented technology

The invention discloses an attention training system which comprises a preprocessing module, a processing module, a storage module and an interaction module, wherein the preprocessing module, the processing module and the storage module are connect with one another; the interaction module is connected with the preprocessing module and the processing module respectively; the preprocessing module is used for processing the training content designated by a user, and generating training content data, so that the preprocessing module generates the training content suitable for the user; the preprocessing module transmits the training content data to the processing module, the interaction module and the storage module respectively; after the interaction module receives the training content data, the interaction module displays the training content through an output device connected with the interaction module; the interaction module provides the training content designated by the user through an input device connected with the interaction module; and the processing module is used for judging whether training is finished.

The invention discloses an attention training system based on brain electricity and movement state feedback and a method thereof; the training system comprises a calculation analysis device and a signal collecting device; the signal collecting device comprises at least one sensor; the calculation analysis device is connected with at least one sensor to acquire the collecting signal of the sensor; at least one sensor comprises a brain electricity sensor for detecting the brain electricity signal and/or a movement sensor for collecting the movement state; the calculation analysis device comprises a signal receiving module, a processing analysis module, a feedback instruct module and an application program module. The attention training system based on brain electricity and movement state feedback and the method thereof can effectively solve the symptoms of inattention, hyperactivity and other various behavior disorders.

The invention discloses an attention training method based on accurate strength control, touch feedback and difficulty self-adaptation. A customized training device is adopted, and the training process of a plurality of tasks (tests) is finished through the forms of trainer inputting, system processing and vibration feeding back to a trainer. The physiological characters of people are combined in the method, a testee is required to be fully involved into the training environment instead of passively receiving, the operating method is simple, and therefore the training effect and efficiency of attention are effectively improved. Meanwhile, the functions of difficulty self-adaptation adjusting and training data storing are achieved, and the method is not only suitable for the crowd with the attention deficit but also suitable for the ordinary crowd or the special crowd needing to carry out exquisite manipulation.

The invention discloses an immersive attention training system combining vision and discrete force control tasks. The system, by frequently conducting attention and finger force focusing activity training and through an adaptive algorithm, can automatically regulate the difficulty of training tasks so as to adapt to increasing control capacity of a user or individual difference of different persons; and meanwhile, the initiative and attention input of the user in the training tasks can be constantly kept at a maximum level, so that the purpose of improving the attention and finger force control of target people is achieved.

The invention discloses a wearable brain wave attention training instrument. A miniature projector is used for generating a virtual screen at the position 2m away from the human eyes, and video stimulation signals are provided for attention training; audio signals are output through an audio interface, and background music, training instructions and other audio stimulation signals are provided for attention training; a brain wave electrode is arranged on the forehead of the head through a rotary adjusting rod and a telescopic adjusting rod. The brain wave electrode sends collected brain wave signals to an embedded processing unit, and the embedded processing unit carries out spectral analysis on the brain wave signals, extracts beta-wave components reflecting the brain attention focusing degree, carries out neurofeedback on attention training, and transmits data to a human-computer interaction device through a wireless data interface. According to the wearable brain wave attention training instrument, brain waves serve as feedback signals of attention training, and thus efficiency and reliability of attention training are greatly improved; due to the fact that a wearable computer is used, a plurality of unwanted interference factors are eliminated, and the training environment is improved.

The invention discloses a visual target active attention training system for sober rats/mice. The visual target active attention training system comprises a master control unit, a behavior restricting high table, a visual stimulation display unit, an infrared eye movement monitoring unit, a basic controller, a water feeding rewarding unit and a video monitoring unit. The visual target active attention training system has the advantages that active attention of the tested animals to visual targets can be effectively improved, the conditioned reflex time of the tested rats/mice from generating the attention to the visual targets to behavior feedback is shortened, and the duration of the active attention of the tested rats/mice to the visual targets is prolonged in experimental procedures; the visual target active attention training system supports various visual cognition experimental paradigms, and is easy to extent and high in universality; the visual target active attention training system has important application value and high experimental demands in research fields of coding of neurons of vision systems, brain cognition functions, drug evaluation, plasticity of neural networks and the like.

The invention discloses an instrument system for digitalized intervention treatment of autistic children and relates to a digitalized intervention instrument system for treatment of child autism. The instrument system consists of a health cloud platform, a smart home device, a home nursing customer service system and a remote consultation system, wherein the smart home device comprises a home computer and a mobile terminal and is provided with a login module, a training module and a communication module, and the training module comprises a continuous attention training template, a visual perception training template, a logic and thought template and a numerical concept and memory skill template. The instrument system is an instrument system which is applied to integral visual and hearing sense training for treatment of child autism and can provide a more professional and effective treatment and rehabilitation means for people who suffer from development behavior disorder.

The invention discloses a system for integral correction of attention, studies and behaviors for children and adolescents. The system comprises an electroencephalographic biofeedback module, a psychological guidance module and a study guidance scheme making module. The electroencephalographic biofeedback module is used for training a subject to learn consciously control own brain electrical activities according to perception of electroencephalographic information change and training the subject to consciously restrain abnormal electroencephalographic signals or strength normal electroencephalographic signals. The psychological guidance module is used for relax training, attention training and professional guidance and activities for group psychology counseling for children of school ages. The study guidance scheme making module is used for looking up relevant works and test paper of the subject to customize personal study guidance scheme for the subject by communication with the subject and parents. The system is capable of organically coordinating the electroencephalographic biofeedback module, the psychological guidance module and the study guidance scheme making module to realize effect optimization and efficiency maximization so as to radically solve the problems of attention deficit disorder, poor study performance and misbehavior for children and adolescents.

The invention discloses an automobile competitive product comparison method based on viewpoint mining analysis. The method comprises the steps of firstly constructing an automobile user evaluation training data set, and then training a text topic extraction model and an LSTM-Attention training text emotion polarity discrimination model by using a deep learning network structure including a convolutional neural network TextCNN; in combination with two deep learning models of TextCNN and LSTM-Attention, obtaining an automobile user evaluation theme and theme emotion scores by using a pipeline processing mode, and finally outputting theme evaluation and emotion polarity by using the model to realize automobile competitive product comparison based on automobile user comment viewpoints. Compared with the prior art, automobile competitive product analysis comes from user comments, the method has the advantages of being high in authenticity and feasibility, and the model has good accuracy anduniversality.

The invention provides an autism child attention training system based on an augmented reality technology. The system comprises a client and a server; a trainee enters an attention training module after logging in through a registration/login module; a target recognition and tracking module is used for training the body of the trainee according to data of a data collection module, and creates a virtual palm information palm according to palm information of the trainee; an attention training module renders and fuses the body of the trainee with a training scene, generates props required for training according to the virtual palm information to finished interaction with the training scene, and then scores the completion after completion of a training task. According to the invention, a childis allowed to perform interactive training in a virtual and real environment, so that the child can improve the attention level in the process of enjoying fun. The system can effectively improve theselective attention level and sustained attention level of an autistic child, and is capable of accurately identifying a trainee in the case of assistance of a counselor.

A smart tablet-based neurofeedback device combined with cognitive training, a method and a computer readable medium thereof are provided. The neurofeedback combined with cognitive training method includes: receiving a measured beta wave; executing an application for attention training set to a first level; performing a predetermined operation associated with an accomplishment condition of the first level when a value of the received beta wave is larger than a predetermined reference value; and executing a second level including an added accomplishment condition for attention training when the accomplishment condition of the first level is satisfied.

The invention discloses an attention training method, device, equipment and system. Blood oxygen data of all attention-related brain regions of a trainee responding to a training task is precisely obtained by a near infrared spectrum detecting device, neural feedback data of the trainee is determined through the blood oxygen data of all the brain regions, and therefore the feedback content determined on the basis of the neural feedback data is presented to the trainee, the trainee can know the training effects of all the brain regions on the basis of the feedback content to be self-guided foradjustment with pertinence and can also know the training progresses of all the brain regions by repeating the steps after self-adjustment so that the aims of guiding and improving the training effects can be realized.

The invention relates to an attention training method and system based on brain-computer interaction. The attention training method based on brain-computer interaction comprises the steps: obtaining electroencephalogram signals of a user; determining the concentration degree of the user according to the electroencephalogram signal; according to the concentration degree, calling a change rule corresponding to the concentration degree from a database; and controlling the size of a visible region in a training interface according to the change rule, and training the attention of the user, therebysolving the problems of low interestingness, multiple training mode constraint conditions and poor training effect in the training process of an attention training method in related technologies, andimproving the interestingness of attention training.

The invention relates to the technical field of attention training, in particular to an attention training method based on single-channel electroencephalogram. The attention training method based on single-channel electroencephalogram is used for solving the problem that the attention training method in the prior art cannot design different scenes for training according to different attention defect types of a trained person. The method comprises the following steps: step 1, accessing a database, and distributing different attention training scenes according to different types of attention defects; step 2, correctly wearing a brain cube electroencephalogram signal collector, and collecting real-time online electroencephalogram signals; step 3, preprocessing the electroencephalogram signal,and removing ocular artifacts to obtain a pure electroencephalogram signal; step 4, extracting attention characteristics to obtain the attention level of the current trainer; and step 5, controllinga virtual scene or an intelligent racing car scene through socket communication, serial port communication and Bluetooth communication. According to the method, corresponding different scenes can be designed for training according to different attention defect types of the trained person, so that the effect is better.

The invention discloses an incremental attention training method based on VR and an eye tracker. The incremental attention training method can implement more scenes, larger scenes and scenes which cannot be formed in a real space through utilizing the characteristics of VR, and can enable children or trainees to receive attention training in more dimensions. Attention is converted into controllability within a scene by using the eye tracker, but can in turn be trained. The incremental attention training method adopt VR glasses and the eye tracker for prompting the user to watch a specific point and keeping watching it for a period of time, the operability is visual, and the incremental attention training method is easy to master. According to the incremental attention training method, theworking intensity of doctors is reduced, attention data are collected through the eye tracker in real time, comparison between training is conducted, and the training effect is mastered; various real-time attention data can be automatically associated, judgment and analysis are automatically and quickly executed, multi-dimensional data are analyzed and compared in real time, and the use achievement and efficiency of a training system are greatly improved.