Adaptable Camera-based Contactless SpO2 Detection

A camera on a device can record a video of someone's skin to check their blood-oxygen levels. It calculates a special ratio from the video that reflects the person's current oxygen saturation. This ratio is then adjusted using information from a baseline user who has already been measured. A trained model helps predict the blood-oxygen level based on this adjusted ratio. Finally, the device provides an estimate of the user's blood-oxygen saturation level.

SPATIAL AUDIO NAVIGATION

Spatial audio navigation helps users find their way by using sound. It provides audio directions that guide people to their desired locations. The system works with a headset that plays sounds in specific directions, making it easier to understand where to go. By inputting the user's current location and destination into a map, it calculates the best route. Different audio cues are used to lead the user along the path, ensuring they stay on track.

RECOMMENDATION PLATFORM FOR SKILL DEVELOPMENT

A new platform helps workers find temporary jobs by using artificial intelligence to match them with available shifts. It not only connects workers to gigs but also suggests how they can improve their skills to get better job matches. Users can see a career path that shows them what skills to develop next, and the platform makes learning fun through gamification. Additionally, it automatically creates resumes for users based on their work experiences and the skills they've gained from each job. The AI generates descriptions for these resumes by analyzing the worker's past gigs and skill tags, ensuring they highlight relevant experience for potential employers.

CROSS-DEVICE COMMUNICATION WITH ADAPTIVE AVATAR INTERACTION

Cross-device communication is improved by using animated 3D avatars that react to users' facial expressions and head movements. When a user communicates from one device, the system captures their facial features and creates a corresponding avatar. This avatar can then be adjusted based on inputs from another device, allowing for richer interactions. Different viewing options, like picture-in-picture or side-by-side, make it easy to engage across various devices such as VR headsets, AR devices, smartphones, and computers. Overall, this technology enhances how people connect and interact in digital spaces.

RECOMMENDATION SYSTEMS INTEGRATING EXTENDED REALITY TO GENERATE PERSONALIZED RECOMMENDATIONS

A system helps create personalized recommendations for users by using their data. When a user asks for a recommendation, the system gathers information about them from various sources. It then uses machine learning to generate a tailored suggestion along with a visual representation in extended reality (XR). This XR representation allows users to interact with the recommendation in a more immersive way. Finally, both the recommendation and its XR version are sent back to the user for them to explore.

CAMERA MAPPING IN A VIRTUAL EXPERIENCE

A metaverse application starts by capturing a video frame of a user. It identifies key points on the user's face to create a digital avatar and background scene. The app also figures out which way the user is looking based on their facial features. As the video continues, it adjusts the mobile device's orientation to match the user's head position. New animation frames are then created, keeping the avatar and background in sync with how the user moves their head and device.

RECOMMENDATION SYSTEMS FOR GENERATING VIRTUAL ENVIRONMENTS BASED ON PERSONALIZED RECOMMENDATIONS

A system collects information about a user to create a unique virtual environment just for them. It uses machine learning to analyze the user's data and generate an extended reality experience that matches their preferences. Along with the virtual environment, it also creates a digital avatar that represents the user. This avatar is designed to reflect the user's visual features and characteristics. Overall, the system aims to enhance the user's experience by personalizing their virtual interactions.

METHODS AND SYSTEMS FOR PRODUCING CONTENT IN MULTIPLE REALITY ENVIRONMENTS

Filmmakers can now use their skills to create content for different types of environments, like video games and virtual reality. The methods and systems help them adapt their filmmaking techniques for these new formats. This means they can tell stories in ways that are not just linear, allowing for more interactive experiences. It opens up new possibilities for how audiences engage with stories. Overall, it bridges traditional filmmaking with modern technology and storytelling methods.

SEMANTIC IMAGE SYNTHESIS

A text prompt describes an element that needs to be included in an image, along with layout information showing where this element should go. The invention creates a detailed representation called a text feature pyramid, which organizes the information from the text prompt at different levels of detail. Using this pyramid, an image is generated that includes the specified object in the correct location. The shape of the object matches the shape of the area where it is placed, ensuring it fits well. Overall, this process allows for creating images that accurately reflect specific descriptions and layouts.

WEARABLE APTAMER FIELD-EFFECT TRANSISTOR SENSING SYSTEM FOR NONINVASIVE CORTISOL MONITORING AND WEARABLE SYSTEM FOR STRESS SENSING

A new wearable device can monitor cortisol levels, which is a hormone related to stress, by analyzing sweat. It uses a special type of sensor called a field-effect transistor (FET) that is very sensitive and can detect low amounts of cortisol. The device works by having tiny molecules called aptamers that bind to cortisol, turning this binding into electrical signals that the sensor can read. Researchers tested the device and found that cortisol levels in sweat matched those in saliva during stress tests. This technology allows for real-time tracking of stress levels through a smartwatch, making it easier for people to monitor their well-being.