The present invention relates to a method and system for calculating eating bites of a user. The method comprises: (a) continuously measuring the electrical properties data of mastication of a user for a predetermined period of time; (b) periodically determining single eating bites according to the data obtained in step (a) through a time interval; (c) periodically storing the bites determined throughout the predetermined period of time, through a time interval.

An information processing device includes a first acquisition unit that acquires biological information on a user, a first judgment execution unit that executes a first judgment on whether a first discomfort condition is satisfied or not based on first discomfort condition information specifying the first discomfort condition and the biological information, a second acquisition unit that acquires a sound signal, an acoustic feature detection unit that detects an acoustic feature based on the sound signal, a second judgment execution unit that executes a second judgment on whether a second discomfort condition is satisfied or not based on second discomfort condition information specifying the second discomfort condition and the acoustic feature, and an output judgment unit that judges whether first masking sound should be outputted or not based on a result of the first judgment and a result of the second judgment.

A method and system for providing and aggregating bioelectrical signal data comprising: providing a stimulus configured to prompt an action in both a first user and a second user; at a first biosignal detector and a second biosignal detector, automatically collecting a first bioelectrical signal dataset from the first user as the first user performs the action and a second bioelectrical signal dataset from the second user as the second user performs the action; generating a first anonymized bioelectrical signal dataset from the first bioelectrical signal dataset and a second anonymized bioelectrical signal dataset from the second bioelectrical signal dataset; coupling the first and the second anonymized bioelectrical signal datasets with an action tag characterizing the action; and generating an analysis based upon the first the second anonymized bioelectrical signal datasets. An embodiment of the system comprises a biosignal detector and a processor configured to implement an embodiment of the method.

A method and system for providing and aggregating bioelectrical signal data comprising: providing a stimulus configured to prompt an action in both a first user and a second user; at a first biosignal detector and a second biosignal detector, automatically collecting a first bioelectrical signal dataset from the first user as the first user performs the action and a second bioelectrical signal dataset from the second user as the second user performs the action; generating a first anonymized bioelectrical signal dataset from the first bioelectrical signal dataset and a second anonymized bioelectrical signal dataset from the second bioelectrical signal dataset; coupling the first and the second anonymized bioelectrical signal datasets with an action tag characterizing the action; and generating an analysis based upon the first the second anonymized bioelectrical signal datasets. An embodiment of the system comprises a biosignal detector and a processor configured to implement an embodiment of the method.

Disclosed is a neurofeedback device, including a body attached to a user's body and configured to provide electrical stimulation to a vagus nerve region, wherein the body includes: a frame provided in a symmetrical and elliptical shape, wherein one side and another side in a longitudinal direction are concavely recessed toward a center, and attached to a user's neck; a vagus nerve stimulator located on a back surface of the frame, provided to include a plurality of electrodes for providing electrical stimulation to the vagus nerve region, and attached to skin directly above the vagus nerve region located next to carotid artery of the user; a heart rate sensor located at a center of left and right symmetry of the frame on a back surface of the frame and configured to detect heart rates of the user; a manipulator located in front of the frame and configured to receive a user's command; and a plurality of connection ports formed on a side surface of the frame to transmit and receive signals, wherein the plural electrodes of the vagus nerve stimulator are provided one by one on left and right sides in the symmetrical structure of the frame and, when the frame is attached to the user's skin, are disposed perpendicular to a direction of the vagus nerve.

The present disclosure relates generally to systems, methods, and devices for interpreting neural signals to determine a desired movement of a target, transmitting electrical signals to the target, and dynamically monitoring subsequent neural signals or movement of the target to change the signal being delivered if necessary, so that the desired movement is achieved. In particular, the neural signals are decoded using a feature extractor, decoder(s) and a body state observer to determine the electrical signals that should be sent.

The present disclosure relates generally to systems, methods, and devices for interpreting neural signals to determine a desired movement of a target, transmitting electrical signals to the target, and dynamically monitoring subsequent neural signals or movement of the target to change the signal being delivered if necessary, so that the desired movement is achieved. In particular, the neural signals are decoded using a feature extractor, decoder(s) and a body state observer to determine the electrical signals that should be sent.

A system for providing real-time biological feedback training through remote transmission is provided and includes a local brain wave collection device, a docking device, and a dongle. The local brain wave collection device is used to detect a brain wave and a heart rate variability data of a subject. The docking device communicates with the local brain wave collection device remotely to connect a remote cloud system to compare the brain wave and the heart rate variability data with a brain wave database to generate a comparison result, and according to the comparison result, the system provides the subject a feedback training interface.

A system for providing real-time biological feedback training through remote transmission is provided and includes a local brain wave collection device, a docking device, and a dongle. The local brain wave collection device is used to detect a brain wave and a heart rate variability data of a subject. The docking device communicates with the local brain wave collection device remotely to connect a remote cloud system to compare the brain wave and the heart rate variability data with a brain wave database to generate a comparison result, and according to the comparison result, the system provides the subject a feedback training interface.

A method of managing and reducing the recall frequency of disturbing dreams comprises monitoring (100; 200; 300) electroencephalography (EEG) activity of a subject, detecting (102; 206; 302) an indicator of a disturbing dream of the subject based on power in a theta or alpha band of the EEG activity of the subject, and providing stimulation (104; 212; 308) to the subject at a frequency lower than the theta band in response to detecting the indicator of the disturbing dream.