Abstract: A system and method for rendering AI-based haptic feedback and recommendations in a VR environment is provided. The system detects an active VR session on a VR device that renders immersive content associated with a VR environment that includes a digital avatar and a virtual object. The system acquires the immersive content based on the detection and determines physical attributes of the virtual object, scene information associated with the VR environment, and an activity of the digital avatar based on a first network-based analysis, a second network-based analysis, a third neural network-based analysis, respectively, of the content. The system further detects an interaction between the digital avatar and the virtual object in a duration of the activity, and generates a feedback signal based on the interaction, the scene information, and the physical attributes. The system further controls a haptic device based on the feedback signal to generate a haptic feedback.

Abstract: An electronic device and method for chronic pulmonary disease prediction from audio input based on short-winded breath determination using artificial intelligence is disclosed. The electronic device receives an audio input associated with a user. The electronic device applies an Artificial Intelligence (AI) model to detect a short-winded breath duration that corresponds to a time duration between an end of a first spoken word and a start of a second spoken word succeeding the first spoken word. The electronic device detects a speaking pattern. The electronic device applies a Recurrent neural network (RNN) model to reconstruct a set of short-winded breath audio samples. The electronic device generates an audio sample dataset and a set of audio features. The electronic device applies a modular neural network model on the generated audio sample dataset and on the generated set of audio features to determine a set of chronic obstructive pulmonary disease (COPD) metrics.