A device for the controlled assistance of the grip, including a first element, which can be worn on one hand, and which includes a pair of ferromagnetic plates. The device also includes a second element which includes a ferromagnetic core whose opposite poles are each connected to one of the two ferromagnetic plates. The device further includes a power supply unit connected to an excitation coil wound around the ferromagnetic core. A control unit controls the voltage supplied by the power supply unit to the ends of the coil, so as to adjust the magnetic field generated to the ferromagnetic plates.

In an embodiment, the invention relates to neural prosthetic devices in which control signals are based on the cognitive activity of the prosthetic user. The control signals may be used to control an array of external devices, such as prosthetics, computer systems, and speech synthesizers. Data obtained from a 4×4 mm patch of the posterial parietal cortex illustrated that a single neural recording array could decoded movements of a large extent of the body. Cognitive activity is functionally segregated between body parts.

In an embodiment, the invention relates to neural prosthetic devices in which control signals are based on the cognitive activity of the prosthetic user. The control signals may be used to control an array of external devices, such as prosthetics, computer systems, and speech synthesizers. Data obtained from a 4×4 mm patch of the posterial parietal cortex illustrated that a single neural recording array could decoded movements of a large extent of the body. Cognitive activity is functionally segregated between body parts.

A method of evaluating a videogame for a first user includes: performing a calibration test using a physical input device to evaluate at least a first physical input capability of the first user with respect to that physical input device; evaluating at the at least first physical input capability exhibited with respect to that physical input device during reference play of the videogame by one or reference users other than the first user; comparing the at least first physical input capability exhibited during reference play with that of the first user; and providing an evaluation of the videogame's suitability for play by the first user, based upon the comparison.

Adaptive assistance technologies can assist a user with operating a computing device. A method according to these techniques includes analyzing user interactions with the computing device, determining that the user interactions with the computing device are indicative of a user experiencing one or more issues for which adaptive assistive technologies provided by the computing device may assist the user, identifying one or more assistive technologies provided by the computing device that may address the one or more issues, modifying one or more operating parameters of the computing device using the one or more assistive technologies, and operating the computing device according to the one or more modified operating parameters.

Techniques are described for detecting the presence or absence of certain molecules, analytes, or substances present in the oral cavity or characteristics of the saliva in the oral cavity. In particular, aspects of the invention disclose a systems, methods, apparatuses, and computer-readable media for detecting bio-markers.

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.

Biological human-computer interfaces are used to control devices, such a robotic limbs, using brain signals, nerve signals and muscle signals. These interfaces are sometimes called brain-computing interfaces. The learning process for a user to control devices using these interfaces is cumbersome. A computing platform is provided that includes a library of human model templates that are used to take biological inputs signals to generate outputs that control the device. Different templates are more appropriate for users of different attributes, such as demographic attributes. The computing platform collects data from multiple other users with these interfaces and devices in order to calibrate the human model templates. The calibrated human model templates are then published to the individual users, so that they can more accurately control their devices using their biological input signals.

Biological human-computer interfaces are used to control devices, such a robotic limbs, using brain signals, nerve signals and muscle signals. These interfaces are sometimes called brain-computing interfaces. The learning process for a user to control devices using these interfaces is cumbersome. A computing platform is provided that includes a library of human model templates that are used to take biological inputs signals to generate outputs that control the device. Different templates are more appropriate for users of different attributes, such as demographic attributes. The computing platform collects data from multiple other users with these interfaces and devices in order to calibrate the human model templates. The calibrated human model templates are then published to the individual users, so that they can more accurately control their devices using their biological input signals.