Embodiments of a system for controlling an object using brainwaves are disclosed. The system includes a set of EEG electrodes configured to be positioned on a head of a user and to collect EEG signals. The system further includes one or more computer readable storage mediums storing a framework configured to execute an extensible architecture through which EEG signals are interpreted for control of the object. The framework includes an EEG device plugin associated with the set of EEG electrodes and configured to extract the EEG signals from the set of EEG electrodes. The framework also includes an interpreter plugin configured to convert the EEG signals extracted by the EEG device plugin into a command. Further, the framework includes an object control plugin configured to access the command through an extension point of the interpreter plugin and to execute the command to control the object.

Embodiments of a system for controlling an object using brainwaves are disclosed. The system includes a set of EEG electrodes configured to be positioned on a head of a user and to collect EEG signals. The system further includes one or more computer readable storage mediums storing a framework configured to execute an extensible architecture through which EEG signals are interpreted for control of the object. The framework includes an EEG device plugin associated with the set of EEG electrodes and configured to extract the EEG signals from the set of EEG electrodes. The framework also includes an interpreter plugin configured to convert the EEG signals extracted by the EEG device plugin into a command. Further, the framework includes an object control plugin configured to access the command through an extension point of the interpreter plugin and to execute the command to control the object.

A system and method for automatically assessing pilot readiness via a plurality of biometric sensors includes continuously receiving biometric data including vision-based data; the biometric vision-based data is compared to a task specific set of movements and facial expressions as defined by known anchor points. A deviation is calculated based on the vision-based data and task specific set of movements and expressions, and the deviation is compared to an acceptable threshold for pilot readiness. Other biometric data may be included to refine the readiness assessment.

A system and method for automatically assessing pilot readiness via a plurality of biometric sensors includes continuously receiving biometric data including vision-based data; the biometric vision-based data is compared to a task specific set of movements and facial expressions as defined by known anchor points. A deviation is calculated based on the vision-based data and task specific set of movements and expressions, and the deviation is compared to an acceptable threshold for pilot readiness. Other biometric data may be included to refine the readiness assessment.

Described herein are noninvasive electrical stimulation devices, systems and methods for stimulation of the Vagus nerve through its auricular branch to provide beneficial physiological responses in subjects, including alleviation, mitigation or elimination of symptoms of various disorders, including metabolic and inflammatory disorders.

An electrode system is provided for sensing and/or stimulating a brain while reducing risk associated with the sensing and stimulation. The system is scalable to different numbers of contacts to span large areas of the brain. The system includes an electrode array made with a plurality of patches connected together physically and electrically. The array and/or each patch can have its own respective intelligent multiplexer and/or intelligent demultiplexer to aggregate the respective sense and/or stimulate signals, thereby reducing the wire count down to a single wire or wireless link. The array or each patch can have an embedded ground plane, thus minimizing the susceptibility to external EM noise. Moreover, the physical resolution of the array or each patch can be adjusted as needed.

Proposed is system and method for determining a driver's fatigue to promote safe driving by determining the driver's fatigue according to a change in a brain wave of a driver during driving of a vehicle.

Proposed is system and method for determining a driver's fatigue to promote safe driving by determining the driver's fatigue according to a change in a brain wave of a driver during driving of a vehicle.

In an embodiment, there is provided an apparatus. The apparatus includes an analog front end for biosignal acquisition. The analog front end includes an instrumentation amplifier and a reconfigurable filter. The instrumentation amplifier is configured to receive a biosignal and includes a super class-AB output stage. The reconfigurable filter is coupled to an output of the instrumentation amplifier. The reconfigurable filter has a selectable gain and an adjustable bandwidth. The bandwidth is adjusted based, at least in part, on a duty cycle of a clock signal.

The present invention discloses a method for determining a degree of response to a physical activity. Acquire a physical activity signal measured by a sensing unit in the physical activity. Determine first data of a first physical activity feature set based on the physical activity signal. Determine a recognition of the degree of response to the physical activity based on the first data of the first physical activity feature set by a mathematical model describing a relationship between the first physical activity feature set and the degree of response to a physical activity. A portion of a first mechanism of the mathematical model adopts at least one portion of a second mechanism of a first neural network model associated with the second physical activity feature set.