An information processing system includes a device causing a user to see visual information in which a virtual object is superimposed onto information about a real space, an acquirer that acquires a position of a real object existing in the real space, and a processor configured to move the virtual object in a direction away from the real object in a case where the real object is positioned inside a predetermined range from the device.

Systems, methods, and protocols for developing invasive brain computer interface (iBCI) decoders non-invasively by using emulated brain data are provided. A human operator can interact in real-time with control algorithms designed for iBCI. An operator can provide input to one or more computer models (e.g., via body gestures), and this process can generate emulated brain signals that would otherwise require invasive brain electrodes to obtain.

This patent proposal document provides a complete robot hand control scheme using myoelectric intention estimation of the human being using the kernel Principal Component Analysis Algorithm (kPCA). The robot hand system includes a biometric EMG sensor system, a robot hand including with multiple fingers, a controller connected with the biometric EMG sensor system, and a robot hand. The controller acquires the biometric EMG signal by means of a biometric sensor system, estimates myoelectric motion intention by applying the kernel principal component analysis (kPCA) algorithm using a kernel function, and delivers a control command corresponding to the estimated motion intention of the user to the robot hand.

A display device includes: a biological sensor configured to detect biological information of a user; an output-specification determining unit configured to determine a display specification of a sub-image to be displayed on a display unit based on the biological information of the user; an output control unit configured to cause the display unit to display the sub-image in a superimposed manner on a main image that is visually recognized through the display unit and based on the display specification; and an environment sensor configured to detect environment information of a periphery of the display device. The environment information includes location information of the user, and the biological information includes brain wave information of the user. The output-specification determining unit is configured to determine display time of the sub-image per unit time as the display specification based on the location information and the brain wave information.

The present disclosure relates to establishing bidirectional communication between a brain wave processing device and a vehicle to control at least one vehicle component of the vehicle. For this purpose, a brain-computer communication channel is provided between the brain wave processing device and the respective vehicle component. Subsequently, a control signal is determined as a function of a brain wave of the operator of the brain wave processing device and transmitted via the brain-computer communication channel to adapt at least one operating parameter of the respective vehicle component. This causes a change in the operating state of the respective vehicle component. Depending on this, an output signal is generated and is assigned to the change in the operating state of the vehicle component. This output signal is transmitted back to the brain wave processing device via the brain-computer communication channel and is output to the operator by means of an output unit of the brain wave processing device.

A control method includes obtaining feature data using at least one sensor, the feature data being acquired by the terminal using the at least one sensor, generating an action instruction based on the feature data and a decision-making mechanism of the terminal, and executing the action instruction. In this application, various aspects of feature data are acquired using a plurality of sensors, data analysis is performed on the feature data, and a corresponding action instruction is then generated based on a corresponding decision-making mechanism to implement interactive control.

Various implementations disclosed herein include devices, systems, and methods that determine whether to provide a response based on the characteristic associated with the use of an input sensor (e.g., a keyboard). For example, an example process may include obtaining sensor data from a first sensor of the one or more other sensors, wherein the first sensor is separate from the input sensor, and the sensor data is associated with use of the input sensor by a user, assessing a characteristic associated with the use of the input sensor based on the sensor data, and determining whether to provide a response based on the characteristic associated with the use of the input sensor, the response updating the input sensor with a personalized setting or providing personalized content (e.g., feedback or autocomplete) to the user regarding input sensor use.

The present invention concerns a method and apparatus for the modulation of an acoustic field for providing tactile sensations. A method of creating haptic feedback using ultrasound is provided. The method comprises the steps of generating a plurality of ultrasound waves with a common focal point using a phased array of ultrasound transducers, the common focal point being a haptic feedback point, and modulating the generation of the ultrasound waves using a waveform selected to produce little or no audible sound at the haptic feedback point.

In accordance with one embodiment of the present disclosure, a method includes measuring brain activity for a target frequency and a second harmonic frequency based on a default value of display parameters for a plurality of icons, determining whether a strength of the target frequency and the second harmonic frequency are below a threshold level, and modifying one or more display parameters in response to the strength of the target frequency and the second harmonic frequency being below the threshold level.

A virtual or augmented reality system is disclosed which is capable of both (i) evaluating prospective implantable neurostimulator patient candidates, and (ii) determining optimal stimulation settings for already-implanted neurostimulation patients. Physiological sensors are included with the system to provide objective measurements relevant to a patient's symptoms, such as pain in a Spinal Cord Stimulation (SCS) system. Such objective measurements are determined during the presentation of various virtual or augmented environments, and can be useful to determining which patients are suitable candidates to consider for implantation. Stimulation settings for already-implanted patients may be adjusted while presenting a virtual or augmented environment to the patient, with objective measurements being determined for each stimulation setting. Such objective measurements can then be used to determine optimal stimulation settings for the patient.