Abstract: The present invention provides a method for modelling a position and orientation of a hand with as small a number of sensors as possible. A first sensor is attached on a phalanx distalis of a finger. The first sensor is adapted to provide information on at least five degrees of freedom that correspond to three translations, yaw and pitch. A second sensor is placed at a fixed position relative to a dorsum or palm of the hand. The second sensor is adapted to provide information on at least six degrees of freedom that correspond to three translations, yaw, pitch and roll with respect to a point of the dorsum or palm of the hand. A position and orientation of each of the first and second sensors is detected.

Abstract: 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 monkeys' movement intentions were recorded, decoded with a computer algorithm, and used to position cursors on a computer screen. Not only the intended goals, but also the value of the reward the animals expected to receive at the end of each trial, were decoded from the recordings. The results indicate that brain activity related to cognitive variables can be a viable source of signals for the control of a cognitive-based neural prosthetic.

Abstract: 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 monkeys' movement intentions were recorded, decoded with a computer algorithm, and used to position cursors on a computer screen. Not only the intended goals, but also the value of the reward the animals expected to receive at the end of each trial, were decoded from the recordings. The results indicate that brain activity related to cognitive variables can be a viable source of signals for the control of a cognitive-based neural prosthetic.