Abstract: A method and system for measuring motion of a user's body part for motor rehabilitation after impairment. The system utilizes a two-dimensional optical acquisition system for detecting three-dimensional motions of at least one body part of a user for motor rehabilitation after impairment.

Abstract: A method for measuring an upper limb reaching capability of a user with an impaired limb is provided. Each upper limb is placed at a default position on a horizontal surface. A target is displayed from among a plurality of targets on the horizontal surface. One of the limbs reaches for the target. Limb choice, position information and elapsed time are sensed and recorded. The reaching limb is retracted to the default position. The displaying step through the retracting step are repeated for each of the plurality of targets, wherein each of the plurality of targets is spaced apart.

Abstract: A method for measuring an upper limb reaching capability of a user with an impaired limb is provided. Each upper limb is placed at a default position on a horizontal surface. A target is displayed from among a plurality of targets on the horizontal surface. One of the limbs reaches for the target. Limb choice, position information and elapsed time are sensed and recorded. The reaching limb is retracted to the default position. The displaying step through the retracting step are repeated for each of the plurality of targets, wherein each of the plurality of targets is spaced apart.

Abstract: A system, method and apparatus for maximizing the effectiveness and efficiency of learning, retaining and retrieving knowledge and skills includes a learning engine that includes a novel model of human learning that adaptively determines a memory indicator for each item to be learned for each user during all phases of learning, including a short active phase of learning in which items are actively recalled and a long passive phase of learning in which items are passively forgotten. The memory indicator is determined based on a user's actual memory performance during the short-term active phase of learning and is accurately predicted based on mathematical modeling during the long-term passive phase of learning. The learning model makes use of a target level and an alert level of memory performance for each item of information for each user and the learning engine schedules presentation of items for review or study based on the user's performance with respect to the target and alert levels.