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522 results about "Visual Stimulations" patented technology

Visual stimulation means are currently being used by professional psychologists in their practices and by the general public for relaxation, stress management, Insomnia, mind expansion, accelerated learning and retention, breaking limiting beliefs, phobias, anxiety, sports training, promoting physical wellness.

Accelerated Learning, Entertainment and Cognitive Therapy Using Augmented Reality Comprising Combined Haptic, Auditory, and Visual Stimulation

ActiveUS20150317910A1Effective accelerated learningEffective cognitive therapyPhysical therapies and activitiesElectrophonic musical instrumentsTouch PerceptionVisual Stimulations
An accelerated learning and rehabilitation system for teaching the performance of a musical instrument, a remotely operated system, a sport, a weapon, and for brain rehabilitation and other uses includes generating sensory cues including auditory, haptic and visual sensory cues capable of being perceived by a user. The generated sensory cues are applied to the user and are dependent on a position of at least one body member of a performer relative to a performance element of a performance object with which an event is performed. The sensory cues are effective for stimulating a various processing center of a brain of the user so that user learns how to position his body member corresponding to the position of the performer of the event. The sensory cues can include visual sensory cues effective for stimulating the visual processing center of the brain of the user. The visual sensory cues are synchronized with the other applied sensory cues so that the position of the body member of the performer is virtually visually indicated in synchronization with the other sensory cues so that the visual processing center is stimulated with a visual sensory cue in synchronization with the stimulation of other processing centers corresponding to the other sensory cues for teaching the user to perform a version of the event.
Owner:DANIELS JOHN JAMES

Intelligent wheelchair based on multimode brain-machine interface

The invention discloses an intelligent wheelchair based on a multimode brain-machine interface, comprising a visual stimulus interface, a brain-electrical acquisition platform, the multimode brain-machine interface, a control module and an electric wheelchair which are connected in sequence, wherein a subject expresses control intention by watching the visual stimulus interface and active movement imagery; after finishing acquisition, amplification, filtering and digitalization of brain-electrical signals, the brain-electrical acquisition platform transmits the brain-electrical signals to the multimode brain-machine interface, then preprocessing, characteristic extraction and classification are carried out on real-time brain-electrical signals, the control intention of the subject is converted into an instruction which is sent to a communication unit of the control module, and the wheelchair is controlled by a controller, so that the seven types of movement such as starting, stopping, backward movement, leftward rotation, rightward rotation, acceleration and speed reduction of the wheelchair are realized. The intelligent wheelchair can help the patients with severe paralysis to expand new information output channels for the brain, provides a new idea for the study and the practice on multiple degree of freedom of the brain-machine interface, and has various values in the aspects such as medical rehabilitation, experiment on medical physiology and the like.
Owner:SOUTH CHINA UNIV OF TECH

Image segmentation method based on annotated image learning

The invention provides an image segmentation method based on an annotated image learn. The method comprises two processes of: 1, learning an annotated training sample, namely segmenting the training image, performing scene classification on the training image, and establishing connection between the annotated words and the segmentation region on a special scene; and 2, determining the annotated words of the region to be segmented according to a model parameter acquired by learning in the process 1, performing information fusion according to the annotated information of the region and finishing segmentation. According to the method, the image segmentation and the identification process are fused by learning the annotated image; the annotated words serve as connecting link of the image segmentation and object identification; connection is established between low-grade visual stimulation and the annotated words representing high-grade semantic information to guide the image segmentation process, so that the cognitive ability of the image segmentation result is improved. The method can be directly applied to the actual application fields such as automatic image annotation, computer-aided diagnosis of a medical image, segmentation and classification of remote sensing images, multimedia information retrieval and the like.
Owner:三亚哈尔滨工程大学南海创新发展基地

Intelligent rehabilitation robot system for upper limbs in motor imagery and training method thereof

The invention relates to an intelligent rehabilitation robot system for upper limbs in motor imagery and a training method thereof, and belongs to the field of motor imagery. The system comprises a motion visual stimulation module, an electroencephalogram acquisition module, an upper computer, and an upper limb rehabilitation movement bracket; the upper computer produces corresponding motion stimulation videos according to a rehabilitation training program, and displays the videos to a user through the motion visual stimulation module; the electroencephalogram acquisition module collects synchronous electroencephalogram signals of the user, carries out an amplification and filtering pretreatment, and transmits the electroencephalogram signals to the upper computer; after receiving the electroencephalogram signals, the upper computer generates rehabilitation training control signals through a feature extraction and pattern classification algorithm and outputs the rehabilitation training control signals to the upper limb rehabilitation movement bracket; the user fastens the limb through a fixing mechanism to the upper limb rehabilitation movement bracket, and the rehabilitation movement bracket receives the training control signals and conducts rehabilitation exercise training on the limb according to the corresponding control signals. According to the intelligent rehabilitation robot system for upper limbs in motor imagery and the training method thereof, the precision of rehabilitation training is improved, and the visual comfort of the user is improved.
Owner:ARMY MEDICAL UNIV
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