Adaptive Sleep System Using Data Analytics and Learning Techniques to Improve Individual Sleep Conditions

A bed with built-in sensors can monitor various factors that affect sleep, like pressure and temperature. It has a controller that adjusts these conditions to improve comfort based on individual needs. Data from the bed can be sent to a remote computer, which analyzes the information and suggests better sleep profiles. Good sleep quality is important for health and well-being, as it depends on the right conditions during different sleep stages. Many people struggle with sleep due to issues like breathing problems, especially when sleeping on their backs, but this system aims to help improve their sleep experience.

METHOD AND SYSTEM FOR CREATING 3D OBJECTS FROM ROUGHLY DRAWN SKETCH AND TEXT

A method and system allow users to create 3D objects using simple sketches and text descriptions. Users can input a rough drawing and some words about the object they want to make. The system then turns this input into a 2D image, which is further transformed into a 3D object. This process enables anyone, regardless of their experience with 3D design, to produce high-quality 3D assets for various uses like games or animations. Overall, it simplifies the creation of 3D content without needing advanced skills or expensive tools.

Synchronized, Interactive Augmented Reality Displays for Multifunction Devices

A device can show live video of the real world on a touch screen. It can recognize objects in that video and create an information layer with details about those objects. Users can add their own notes to this information layer using the touch screen. As the device moves, it keeps the video and information layer in sync so everything appears correctly. The device can also share this combined view with other devices, and it may feature a split screen to show both the live video and additional computer-generated images.

AUGMENTED REALITY DEVICE CAPABLE OF DISPLAYING VIRTUAL KEYBOARD AND OPERATION METHOD THEREOF

An augmented reality (AR) device can create and show a virtual keyboard in the real world. It finds a flat area around it where no objects are present and decides what type of virtual keyboard to display based on its shape, size, and language. The device then overlays this virtual keyboard onto the chosen area so users can see it. Users can interact with the virtual keyboard through gestures, like touching it with their hands. This technology allows for a new way to input information without needing a physical keyboard.

METHODS AND SYSTEM FOR GENERATING 3D VIRTUAL OBJECTS

Methods and systems are designed to create 3D avatars from 2D images, particularly focusing on faces. A 2D image is analyzed to extract important features, which are then fed into a trained neural network. This network estimates 3D parameters that adjust a standard 3D head model to match the features of the original image. Additionally, there is a process for training the neural network by generating synthetic 3D objects and their corresponding 2D images. By pairing these images with their 3D parameters, the neural network learns how to accurately produce 3D representations from 2D inputs.

SYSTEMS AND METHODS FOR ARTIFICIAL INTELLIGENCE-BASED VIRTUAL AND AUGMENTED REALITY

A system is designed to create a virtual companion that interacts with users in real-time. It uses sensors to gather information about the user's environment and their emotional responses to events happening around them. When an event occurs, the system identifies how the user feels and connects that emotion to the event. Later, it displays a view of the environment along with a virtual companion that responds to the user's feelings. This approach aims to make experiences more engaging and memorable by combining technology with human emotions.

SYSTEMS AND METHODS FOR USING ARTIFICIAL INTELLIGENCE WITH ASSISTIVE BOTS IN EXTENDED REALITY ENVIRONMENTS

Assistive bots are computer-generated avatars that help users in extended reality (XR) environments by answering questions about both virtual and real-world objects. These environments combine physical and virtual worlds, making them more immersive with the use of advanced technologies like VR and AR. In educational settings, these bots can serve as tutors or study helpers, providing support to students in a way that real-life teachers might. Unlike traditional non-player characters in video games, these assistive bots use artificial intelligence to learn and improve their interactions over time. This technology allows for more meaningful and effective educational experiences in XR environments.

SYSTEMS AND METHODS FOR CONTROLLABLE VIDEO GENEATION

A new video generation system combines both images and text to create videos. It uses a special module that allows the system to understand and incorporate the visual details from an input image while also considering a text description. This approach enables the creation of videos without needing extensive adjustments or training. Unlike previous models that relied only on text, this system offers more control over how the final video looks. Overall, it aims to improve the accuracy and quality of generated videos by blending visual and textual information effectively.

ATTENTION-BASED CONTENT VISUALIZATION FOR AN EXTENDED REALITY ENVIRONMENT

A method is designed to improve how users interact with virtual content in extended reality environments. It starts by collecting data about what the user pays attention to, which helps identify what content they are interested in. Based on this interest, relevant virtual content is selected and adjusted to make it more suitable for the user. The final version of this content is then displayed prominently in the virtual environment, making it easier for the user to engage with. This approach aims to enhance the clarity and usability of information presented in various applications, such as training or entertainment.

System for a Cloud-based Intelligent Tutoring System (ITS) using an Artificial Intelligence Engine

An AI-based Intelligent Tutoring System helps teachers create learning activities and track student performance using their mobile phones. It collects data on how students participate and perform, then uses this information to develop personalized tutoring plans for each student. These plans are sent to students' phones, allowing them to learn at their own pace outside of class. The system also monitors students' progress and provides additional help until they fully understand the material. It can adapt to different needs, such as switching from text to voice for visually challenged students, and works with basic internet access without needing costly infrastructure.