PHOTOTHERAPY DEVICE WITH TOUCH-BASED ZONE SELECTION AND AI-DRIVEN SKIN ANALYSIS

Smart overview of the Invention

The patent application describes a phototherapy device system designed as a wearable mask with a multi-layer construction. The mask includes a touch-sensitive layer, backlight layer, flexible light panel with LED beads, and an inner translucent bottom layer. The system operates in two modes: a touch-based mode, allowing users to select treatment zones through gestures on the mask, and an AI-based mode, which uses a skin analysis model to automatically detect blemishes and map them to corresponding LED sets for targeted phototherapy.

Technical Field

The invention relates to wearable phototherapy devices with user interfaces, specifically a flexible mask integrating touch-based zone selection and AI-driven skin analysis. This integration aims to enhance the precision and personalization of LED phototherapy by allowing users to interact directly with the mask to define treatment areas, or by automatically identifying blemish regions for targeted treatment.

Background Art

Phototherapy using LEDs is a well-established treatment for various skin conditions, offering non-invasive home-use options. Previous devices have proposed touch interfaces and separate skin analysis systems but often lack seamless integration and direct on-mask interaction for zone selection. Existing systems may require external devices or complex setups, limiting user convenience and precision in targeting specific facial areas.

Objects of the Invention

• Integrate touch-based zone selection with AI-driven skin analysis for targeted LED phototherapy.
• Enable intuitive, gesture-based selection of treatment regions on the mask surface.
• Allow users to select localized regions or define treatment areas through various gestures, such as tapping or drawing.
• Provide immediate visual feedback and allow users to adjust selected areas before treatment.
• Automatically determine phototherapy modes and detect topical agents to optimize treatment.

AI Integration and User Interaction

The device uses a pretrained AI model to analyze facial images, identifying blemishes and their severity. It maps these to LED clusters on the mask, selecting appropriate therapy regimens for each blemish type. The system allows users to review and correct detected regions before treatment, ensuring accurate and personalized care without manual zone selection.