Abstract: A device may receive real time audio data associated with a call between an agent and a customer, and may receive customer data identifying historical interactions with the customer. The device may receive chat data associated with the customer or interactive voice response (IVR) data associated with the customer, and may generate, based on the real time audio data, transcript data identifying a real time transcript of the call with the customer. The device may process the real time audio data, the customer data, the chat data or the IVR data, and the transcript data, with a machine learning model, to determine a customer intent and one or more actions to perform based on the customer intent; and may perform the one or more actions.

Abstract: A device may receive real time audio data associated with a call between an agent and a customer, and may receive customer data identifying historical interactions with the customer. The device may receive chat data associated with the customer or interactive voice response (IVR) data associated with the customer, and may generate, based on the real time audio data, transcript data identifying a real time transcript of the call with the customer. The device may process the real time audio data, the customer data, the chat data or the IVR data, and the transcript data, with a machine learning model, to determine a customer intent and one or more actions to perform based on the customer intent; and may perform the one or more actions.

Abstract: An electronic device and method for content-aware image encoding using a machine learning (ML) model are provided. The electronic device receives at least one foreground region and at least one background region from a first image frame. The electronic device determines a set of first macroblocks associated with the detected at least one foreground region and a set of second macroblocks associated with the detected at least one background region, determines a bit allocation control parameter associated with the determined set of second macroblocks, updates the determined bit allocation control parameter based on an application of a first trained ML model, and encodes the first image frame based on the updated bit allocation control parameter to obtain a second image frame so that a first image quality index associated with the first image frame matches a second image quality index associated with the second image frame within a threshold range.

Abstract: An electronic apparatus and method for medical examination of human body using haptics is provided. The electronic apparatus controls a first head-mounted display to render a 3D model of an anatomical portion of the body of a human subject. The rendered 3D model includes a region corresponding to defect portion in the anatomical portion. The electronic apparatus transmits a touch input to wearable sensor in contact with the anatomical portion. Such an input corresponds to a human touch on the region of the rendered 3D model. The electronic apparatus receives, based on the touch input, bio-signals associated with the defect portion via the wearable sensor. The bio-signals include physiological signals and somatic sensation information associated with the defect portion. As a response to the human touch, the electronic apparatus controls a wearable haptic device to generate a haptic feedback based on the received set of bio-signals.

Abstract: A method, device, and computer-readable medium provide for receiving, via a chatbot access channel, a chat message from a user device associated with a customer chat session; determining that the chat message includes a customer intent that corresponds to a chat flow for the customer chat session; generating one or more suggested response messages based on the chat message, wherein at least one of the one or more suggested response messages includes a previously stored chat message response corresponding to the customer intent and approved by a service agent; presenting, via a display, a transcript of a messaging sequence for the customer chat session concurrently with a user interface that enables the service agent to perform an action with respect to the one or more suggested response messages; and sending, via the chatbot access channel, a selected one of the one or more suggested response messages to the user device.

Abstract: A projection system and method for depth-based projection of image-based content is provided. The projection system receives a sequence of image frames to be projected on a physical surface of a three-dimensional (3D) structure. The projection system controls a depth sensor to acquire depth data associated with the physical surface and feeds a first input including the acquired depth data and a first image frame of the received sequence of image frames to a neural network-based model. The projection system further receives a set of geometric correction values as a first output of the neural network-based model for the fed first input and modifies the first image frame based on the received set of geometric correction values. The projection system further controls the illumination circuitry to project the modified first image frame onto the physical surface.

Abstract: A system described herein may provide for the adaptation and/or expansion of a natural language processing (“NLP”) platform, that supports only a limited quantity of intents, such that the described system may support an unlimited (or nearly unlimited) quantity of intents. For example, a hierarchical structure of agents may be used, where each agent includes multiple intents. A top-level (e.g., master) agent may handle initial user interactions, and may indicate a next-level agent to handle subsequent interactions.

Abstract: A projection system and method for depth-based projection of image-based content is provided. The projection system receives a sequence of image frames to be projected on a physical surface of a three-dimensional (3D) structure. The projection system controls a depth sensor to acquire depth data associated with the physical surface and feeds a first input including the acquired depth data and a first image frame of the received sequence of image frames to a neural network-based model. The projection system further receives a set of geometric correction values as a first output of the neural network-based model for the fed first input and modifies the first image frame based on the received set of geometric correction values. The projection system further controls the illumination circuitry to project the modified first image frame onto the physical surface.

Abstract: A device receives provides content to a client device via a dual-panel user interface that includes a first panel and a second panel. The device receives, from the client device, information indicating a user interaction, and processes the information, with a first model, to determine a question based on the user interaction. The device utilizes natural language processing with the question to determine an intent of the question, and processes the intent of the question, with a second model, to map the intent of the question to a content answer to the question. The device adds additional user information, associated with a user of the client device, to the content answer to generate a personalized content response, and updates the first panel with the personalized content response to generate an updated first panel. The device provides the updated first panel, via the dual-panel user interface, to the client device.

Abstract: An electronic apparatus and method for medical examination of human body using haptics is provided. The electronic apparatus controls a first head-mounted display to render a 3D model of an anatomical portion of the body of a human subject. The rendered 3D model includes a region corresponding to defect portion in the anatomical portion. The electronic apparatus transmits a touch input to wearable sensor in contact with the anatomical portion. Such an input corresponds to a human touch on the region of the rendered 3D model. The electronic apparatus receives, based on the touch input, bio-signals associated with the defect portion via the wearable sensor. The bio-signals include physiological signals and somatic sensation information associated with the defect portion. As a response to the human touch, the electronic apparatus controls a wearable haptic device to generate a haptic feedback based on the received set of bio-signals.

Abstract: A method, device, and computer-readable medium provide for receiving, via a chatbot access channel, a chat message from a user device associated with a customer chat session; determining that the chat message includes a customer intent that corresponds to a chat flow for the customer chat session; generating one or more suggested response messages based on the chat message, wherein at least one of the one or more suggested response messages includes a previously stored chat message response corresponding to the customer intent and approved by a service agent; presenting, via a display, a transcript of a messaging sequence for the customer chat session concurrently with a user interface that enables the service agent to perform an action with respect to the one or more suggested response messages; and sending, via the chatbot access channel, a selected one of the one or more suggested response messages to the user device.

Abstract: A method, device, and computer-readable medium provide for receiving, via a chatbot access channel, a chat message from a user device associated with a customer chat session; determining that the chat message includes a customer intent that corresponds to a chat flow for the customer chat session; generating one or more suggested response messages based on the chat message, wherein at least one of the one or more suggested response messages includes a previously stored chat message response corresponding to the customer intent and approved by a service agent; presenting, via a display, a transcript of a messaging sequence for the customer chat session concurrently with a user interface that enables the service agent to perform an action with respect to the one or more suggested response messages; and sending, via the chatbot access channel, a selected one of the one or more suggested response messages to the user device.

Abstract: An electronic apparatus and a method for generation of media content having multi-focus video and multi-directional audio, is provided. The electronic apparatus includes an image-capture device and determines plurality of focus windows on a field-of-view (FOV) region of the image-capture device. The electronic apparatus control the audio-capture device to capture a plurality of audio references based on the determined plurality of focus windows. The electronic apparatus further controls the image-capture device to capture a sequence of image frames of the FOV region. Each image frame of the sequence of image frames is captured while a focus point of the image-capture device is set on a corresponding focus window of the determined plurality of focus windows. The electronic apparatus generates media content based on the captured sequence of frames and captured plurality of audio references.

Abstract: A media processing apparatus and method for frame rate control based on rendered objects. The media processing apparatus receives a first plurality of image frames which may include a first plurality of objects from a first image capturing device. The media processing apparatus receives a first user input corresponding to a first object from a first media rendering device. The media processing apparatus determines a first speed of movement of the first object based on an analysis of a first set of consecutive image frames from the first plurality of image frames and calculates a first frame rate based on the determined first speed of movement of the first object. The first image capturing device captures a second plurality of image frames at the first frame rate. The media processing apparatus transmits the captured second plurality of image frames to the first media rendering device.

Abstract: A system is disclosed for chatbot conversation construction, and includes user interface, coupled to a conversation construction and management platform, configured to provide entry of intents, associated responses and search terms, and to construct and store conversation controllers, each based at least in part on one or more of the intents, and build conversation flows, each based at least in part on one or more of the conversation controllers. An artificial intelligence (AI) connector platform couples to the conversation construction and management platform, and is configured to receive natural language (NL) search data from a chatbot channel, format the NL search data into an input protocol of a selectable NL processing engine and receive a response from the NLP engine and, based at least in part on one or more of the conversation flows, convert the NLP engine response to a personalized response, and send the personalized response to the chatbot channel.

Abstract: A device receives provides content to a client device via a dual-panel user interface that includes a first panel and a second panel. The device receives, from the client device, information indicating a user interaction, and processes the information, with a first model, to determine a question based on the user interaction. The device utilizes natural language processing with the question to determine an intent of the question, and processes the intent of the question, with a second model, to map the intent of the question to a content answer to the question. The device adds additional user information, associated with a user of the client device, to the content answer to generate a personalized content response, and updates the first panel with the personalized content response to generate an updated first panel. The device provides the updated first panel, via the dual-panel user interface, to the client device.

Abstract: A system described herein may provide for the adaptation and/or expansion of a natural language processing (“NLP”) platform, that supports only a limited quantity of intents, such that the described system may support an unlimited (or nearly unlimited) quantity of intents. For example, a hierarchical structure of agents may be used, where each agent includes multiple intents. A top-level (e.g., master) agent may handle initial user interactions, and may indicate a next-level agent to handle subsequent interactions.

Abstract: A media processing apparatus and method for frame rate control based on rendered objects. The media processing apparatus receives a first plurality of image frames which may include a first plurality of objects from a first image capturing device. The media processing apparatus receives a first user input corresponding to a first object from a first media rendering device. The media processing apparatus determines a first speed of movement of the first object based on an analysis of a first set of consecutive image frames from the first plurality of image frames and calculates a first frame rate based on the determined first speed of movement of the first object. The first image capturing device captures a second plurality of image frames at the first frame rate. The media processing apparatus transmits the captured second plurality of image frames to the first media rendering device.

Abstract: An electronic apparatus and a method for generation of media content having multi-focus video and multi-directional audio, is provided. The electronic apparatus includes an image-capture device and determines plurality of focus windows on a field-of-view (FOV) region of the image-capture device. The electronic apparatus control the audio-capture device to capture a plurality of audio references based on the determined plurality of focus windows. The electronic apparatus further controls the image-capture device to capture a sequence of image frames of the FOV region. Each image frame of the sequence of image frames is captured while a focus point of the image-capture device is set on a corresponding focus window of the determined plurality of focus windows. The electronic apparatus generates media content based on the captured sequence of frames and captured plurality of audio references.

Abstract: An image processing device is disclosed. The image processing device controls an image capture device to capture at least first image that comprises one or more objects. The image processing device identifies at least a first object in the first image. The image processing device determines a first blur value of identified first object and determines the identified first object as a blur object based on the first blur value. The image processing device adjusts a focal point of the image capture device to focus on the blurred first object. The image processing device controls the image capture device to capture a second image of the first object based on adjusted focal point. The image processing device replaces the first object in first image with the first object in the second image to generate an output image and further controls the display screen to display well-focused output image.