Invention Title:

SYSTEM AND METHOD FOR REAL-TIME BIODATA ANALYSIS AND PERSONALIZED RESPONSE ADAPTATION

Publication number:

US20250225415

Publication date:
Section:

Physics

Class:

G06N5/04

Inventor:

Applicant:

Drawings (4 of 7)

Smart overview of the Invention

The system described utilizes an emotionally intelligent framework to enhance human-machine interaction through real-time biodata analysis. It employs sensors to collect physiological data from users and processes this information using advanced AI models. The primary aim is to determine the user's emotional state and adapt responses accordingly, providing a personalized experience. This approach surpasses traditional AI systems by integrating situational awareness and context-driven self-regulation.

Technical Approach

The core of the system involves a processor that interprets biodata to infer emotional states based on psychophysiological signals. This involves preprocessing steps like data normalization and feature extraction, followed by predictive modeling. The system can also update user profiles with psychographic and cognitive characteristics, enabling iterative enhancements through feedback loops. Such mechanisms allow for dynamic adaptation to the user's emotional context.

Applications

The technology has diverse applications ranging from humanoid robots and AI companions to smart homes and vehicles. For instance, in a vehicle, the system can adjust seat ergonomics or ambient conditions based on the driver's emotional state. In smart homes, lighting and sound systems can be modified for mood enhancement. The system is also capable of managing group dynamics by analyzing collective biodata and tailoring responses for group interactions.

Advanced Features

Beyond basic emotional inference, the system can assess cognitive load and user credibility, adjusting the complexity of information delivery accordingly. It also offers capabilities like audible interactions with adaptive voice properties and linguistic cues tailored to users' inferred emotions. Additionally, it can predict long-term emotional trends, providing proactive interventions when significant deviations are detected.

Integration and Flexibility

The device supporting this system can be integrated into various platforms such as virtual reality displays, gaming systems, or as components in workspaces. It supports multimodal data processing, synchronizing biometric signals for comprehensive emotional analysis. The flexibility of the system allows it to be applied in numerous environments, enhancing both individual and group experiences through intelligent adaptation.