Abstract: A mobility augmentation system monitors data representative of a user's motor intent and augments the user's mobility based on the monitored motor intent data. A machine-learned model is trained to identify an intended movement based on the monitored motor intent data. The machine-learned model may be trained based on generalized or specific motor intent data (e.g., user-specific motor intent data). A machine-learned model initially trained on generalized motor intent data may be re-trained on user-specific motor intent data such that the machine-learned model is optimized to the movements of the user. The system uses the machine-learned model to identify a difference between the user's monitored movement and target movement signals. Based on the identified difference, the system determines actuation signals to augment the user's movement. The actuation signals determined can be an adjustment to a currently applied actuation such that the system optimizes the actuation strategy during application.

Abstract: A magazine display rack disclosed is comprised of a plurality of cages in a trough-like housing that may be secured on a display panel or wall. Each cage, which has a sheet or sheets in front to screen all of the magazine cover except its title and issue date, may be pivoted outwardly on the front edge of the trough-like housing to insert or remove a magazine through the open bottom of the cage. All magazine cages are ganged together by a heavy wire or rod so that in pivoting the cages to remove a magazine, all magazines must be held up in their cages. Any magazine not held up in its cage will slide along the bottom of the trough-like housing, until it engages the rear corner thereof. This helps prevent unauthorized removal of a magazine from its cage.