Mood Map for Dynamic Emotional State Assessment

The patent introduces an intermediary system that analyzes electronic messages and overlays sentiment vectors to recover emotional information. The system acts as a mediator between the sender's intent and the recipient's understanding, using AI-based sentiment analysis to detect emotional states and apply appropriate visual, auditory, or haptic overlays that convey the intended sentiment, thereby compensating for the loss of non-verbal cues in electronic communication

The patent transforms the parameter space of electronic communication by adding sentiment dimensionality. It changes the static text-based message into a dynamic multi-sensory experience by modifying parameters such as color, sound, vibration patterns, and visual effects based on detected emotional states. This parameter enrichment allows electronic messages to convey emotional information that was previously absent

The patent segments the complex task of personalized therapeutic delivery into modular components: sentiment detection module, content selection module, and delivery module. Each component performs a specific function - detecting emotional states, selecting appropriate therapeutic content, and delivering it through appropriate channels. This segmentation reduces system complexity by making each component independent and manageable while maintaining overall adaptability

The system implements self-service through automated sentiment analysis and content selection. The AI-based sentiment detection automatically identifies user emotional states without manual input, and the system autonomously selects and delivers appropriate therapeutic content based on detected sentiments. This self-service capability reduces the need for complex manual configuration while maintaining high personalization