A keyboard for physically handicapped persons, including a translucent surface, a capacitive layer underneath the translucent surface, enabling detection of touch location and pressure on the translucent surface, a projection system dynamically projecting a plurality of visual layouts of keys of a keyboard on the translucent surface, wherein each visual layout includes ASCII character keys or graphical buttons, and a dynamic keyboard layout generator configured to receive user input in conformance with a currently projected layout of keys from a physically handicapped user, and to generate therefrom a time series of ASCII characters or button selections for input to the computing device, to dynamically adjust pressure sensitivity of the keyboard to avoid spurious user input, and to dynamically adjust key sizes and positions in a current virtual layout of keys, to reduce the amount of hand motion required by the user and the amount of discomfort experienced by the user.

A keyboard for physically handicapped persons, including a translucent surface, a capacitive layer underneath the translucent surface, enabling detection of touch location and pressure on the translucent surface, a projection system dynamically projecting a plurality of visual layouts of keys of a keyboard on the translucent surface, wherein each visual layout includes ASCII character keys or graphical buttons, and a dynamic keyboard layout generator configured to receive user input in conformance with a currently projected layout of keys from a physically handicapped user, and to generate therefrom a time series of ASCII characters or button selections for input to the computing device, to dynamically adjust pressure sensitivity of the keyboard to avoid spurious user input, and to dynamically adjust key sizes and positions in a current virtual layout of keys, to reduce the amount of hand motion required by the user and the amount of discomfort experienced by the user.

The present invention relates to a device for assisting body movement, comprising: a pulley for winding or unwinding a wire for moving a specific body between a first position and a second position; a motor for rotating the pulley forward or backward to wind the wire on or unwind the wire from the pulley; and a stopper portion for restricting winding or unwinding of the wire so that the specific body does not move out from between the first position and the second position, wherein the stopper portion comprises: a pulley hook that protrudes to form a swing trajectory on one side of the pulley; and a stopper formed to have a predetermined arc length along the swing trajectory of the pulley hook and provided with a stopper track to which the pulley hook is movably coupled.

A prosthetic adaptor includes a post plate, a grip plate coupled to the post plate, and an equipment interface coupled to the post plate. The equipment interface can be coupled to the post plate at an end of the post plate distal from the grip plate. The post plate can include a concave surface. The concave surface can be configured to receive a Hosmer-like prosthetic hook.

Systems for operating a controlled device via a wearable activation accessory that includes a sensor configured to detect relaxed and flexed conditions of muscles associated with clenching, flexing, and/or lateral displacement of a wearer's muscle, thereby allowing the wearer to generate control signals for a controlled element. The sensor is coupled to a controller, which has an output coupled to a control signal interface. The controller is programmed to receive and evaluate input signals from the sensor to determine whether or not they represent a command for the controlled device by assessing the input signals for a signal pattern indicative of a plurality of volitional muscle motion actions of a wearer of the wearable activation accessory. If/when the processor determines that the input signals represent a valid command, it decodes the command and transmits an associated control signal to the controlled device via the control signal interface.

A method of and system for visualizing a sound source is disclosed. The method may include analyzing an audio signal received by a sound transducer to determine a positional direction of the sound source, determining whether the positional direction of the sound source falls outside a field of view of a user, and in response to determining that the positional direction of the sound source falls outside the field of view of the user, rendering on a display unit a visual representation of the sound source. The visual representation of the source is rendered on a virtual surface at a location within the field of view of the user, the location corresponding to at least one of a distance of the source from the user and a positional direction of the source with respect to the user.

Systems and methods of controlling a device using detected changes in a neural-related signal of a subject are disclosed. In one embodiment, a method of controlling a device or software application comprises detecting a first change in a neural-related signal of a subject, detecting a second change in the neural-related signal, and transmitting an input command to the device upon or following the detection of the second change in the neural-related signal. The neural-related signal can be detected using a neural interface implanted within a brain of the subject.

Systems are disclosed for providing rehabilitation for hand and arm impairment after a stroke or other neurodegenerative condition.

Systems are disclosed for providing rehabilitation for hand and arm impairment after a stroke or other neurodegenerative condition.

Methods and systems are provided for decoding movement intentions using functional ultrasound (fUS) imaging of the brain. In one example, decoding movement intentions include determining a memory phase of a cognitive state of the brain, the memory phase between a gaze fixation phase and movement execution phase, and determining one or more movement intentions including one or more of intended effector (e.g., hand, eye) and intended direction (e.g., right, left) according to a machine learning algorithm trained to classify one or more movement intentions simultaneously.