Abstract: A device for generating conversational replies, including a processor with a memory; a speech input module, a user input module; a natural language processing module including one or more encoder-decode modules; the device being configured to: record portions of a conversation through the speech input module, use a speech recognition module to identify words in the conversation, and when one or more words have been recognised: generate one or more responses based on the one or more words using the natural language processing module; selecting a group of the context sensitive responses, prompt the user via the user input module to select a response from the group, output the selected response.

Abstract: A method of training a neural network to generate conversational replies, the method including: providing a first dataset of stored phrases linked to form a plurality of conversational sequences; training the neural network to generate responses to input phrases using the first dataset; and using the trained neural network to generate a list of conversational replies in response to conversational inputs.

Abstract: A pneumatically-actuated soft robotics-based variable stiffness haptic interface device for rehabilitation of a hand includes a body having a flexible outer wall and a cavity defined by the outer wall, the outer wall including a plurality of grooves configured to receive a fiber wound around the outer wall. The device further includes a pneumatic actuator in communication with the cavity and configured to provide pressure to the cavity.

Abstract: A pneumatically-actuated soft robotics-based variable stiffness haptic interface device for rehabilitation of a hand includes a body having a flexible outer wall and a cavity defined by the outer wall, the outer wall including a plurality of grooves configured to receive a fiber wound around the outer wall. The device further includes a pneumatic actuator in communication with the cavity and configured to provide pressure to the cavity.