5 results about "Attention training" patented technology

The application discloses an attention training device, which comprises a support, a first mounting plate, a friction block, an electric sliding rail, a sliding block and an observation piece, etc. The support is connected with the first mounting plate, the bottom of the support is connected with a plurality of friction blocks, the middle of the first mounting plate is connected with the electric sliding rail, the electric sliding rail can be speed-adjusted, the electric sliding rail is slidingly connected with the sliding block, and the sliding block is rotatably connected with the observation piece. By starting the electric sliding rail, the sliding block moves left and right on the electric sliding rail, the sliding block drives the observation piece to move left and right, the trainer's eyes move left and right along with the observation piece, the electric sliding rail can be arbitrarily speed-adjusted, the speed of the observation piece is indirectly changed, and the trainer closely watches the observation piece moving left and right through eyes, so that the effect of improving the attention training efficiency is achieved.

This application relates to a method and system for attention training that combines EEG and behavioral data, belonging to the field of brain-computer interface data processing technology. The method simultaneously collects EEG and behavioral data during attention training tasks, divides continuous EEG time windows based on a unified time reference, and maps behavioral data to corresponding windows; preprocesses the EEG data and calculates a reliability index, extracting attention features to obtain candidate attention values; extracts behavioral attention features to generate behavioral representation values, and performs consistency verification based on the deviation between the two; combines the reliability index and verification results to perform gating correction on the candidate attention values, obtaining fused attention values ​​and dividing attention state segments; adaptively adjusts the training load according to the type and duration of attention state segments; after training, generates evaluation results based on the distribution of attention state segments and changes in behavioral data, determining the initial configuration for the next cycle. This application can improve the stability of attention state recognition in children's scenarios.

FIELD: psychology.SUBSTANCE: used in the psychocorrection of traumatic experiences. A preliminary session with a psychotherapist is held. The client is taught the 4 stages of the method. The client then begins to independently complete the stages for 7–8 minutes a day until the memory of the traumatic episode no longer evokes negative feelings. The first stage of the method “Self-regulation and preparation for working with trauma” consists of 3 sub-stages, in which the following are performed: the exercise “Attention training”, the exercise “3 pleasant experiences a day”, the exercise “The principle of the stone and the wave”, breathing techniques. The second stage of the “Systematic desensitization” method involves actualizing feelings from a traumatic memory, and then “Parasympathetic breathing” is carried out. The third stage, “Neurophysiological modeling,” involves the client imagining the desired outcome in their life by processing the memory of a traumatic experience, then choosing a simple, monotonous movement and performing it for 1–2 minutes. The fourth stage is “Identifying obstacles to achieving the desired result.”EFFECT: method enables the processing of negative traumatic memories and the accompanying relief of nervous tension, increased stress resistance, and a reduction in the impact of the traumatic event on a person's well-being, mood, self-esteem, thoughts, feelings, and behavior.3 cl

This invention discloses a control method for an intelligent flavor-customized popcorn machine based on multi-brain region signal interaction, solving the problems of existing devices' strong reliance on limb operation and poor scene adaptability. The device includes a popcorn machine main body, a 16-channel EEG acquisition device, and an STM32F103RBT6 main controller, etc., constructing a hierarchical control link through WIFI+I2C+SPI. It employs SSVEP frequency-phase joint modulation coding to achieve flavor / ingredient selection based on thought, decoded by the FB-CCA algorithm, achieving a recognition accuracy of ≥95%. Attention level is calculated using prefrontal cortex EEG signals, dynamically matching heating power. An integrated modular ingredient dispensing box enables automatic and precise ingredient dispensing, coupled with a smart touchscreen for status feedback and interaction, and also supports voice backup control. The device requires no limb operation, adapting to scenarios such as independent living for people with disabilities, attention training for children, and entertainment, achieving a fully closed-loop control of "thought-execution-feedback," with stable communication and convenient operation.

This invention discloses a cognitive enhancement system for combat training and its control method, comprising an intelligent sandbag, a control terminal, and a display device. The intelligent sandbag has a visual interaction module on its striking surface for emitting light signals to indicate targets. The control terminal is configured to execute a low-load visual parameter mode, setting the reference luminous color of the visual interaction module to blue and the brightness to 50% of the maximum brightness. The control terminal is also configured with continuous and selective attention training modes, driving the visual interaction module through random interval flashing and target-interference signal mixing logic, respectively. The display device displays reaction time and error rate data. This invention, through optimized visual parameters and specialized training algorithms, effectively reduces cognitive load and visual fatigue during training, achieving differentiated training and quantitative evaluation of attention types.