Radar-First Multimodal Fusion for Real-Time User Satisfaction Measurement

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Solution Overview

Problem

Existing methods for evaluating user satisfaction are subjective, lack real-time capabilities, and raise privacy concerns due to the use of invasive sensors.

Innovation Solution

A non-invasive system utilizing radar sensors with optional optical and acoustic sensors for real-time data fusion, employing machine learning to calculate a User Satisfaction Index (USI) through physiological and behavioral markers, ensuring privacy with radar as the primary data source and optional anonymization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional surveys and interviews are used to evaluate user satisfaction, then subjectivity and limited sample sizes are reduced, but real-time data collection and immediate identification of satisfaction issues cannot be achieved

Engineering Contradiction:

Improveobjectivity of satisfaction measurementVSAvoiddelay in obtaining satisfaction data

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces traditional mechanical survey methods with an automated sensor-based system that continuously monitors physiological parameters (heart rate, respiration, skin conductance) and behavioral data (mouse movements, typing patterns, screen interactions) to objectively measure user satisfaction in real-time, eliminating both subjectivity and time delays

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables users to be automatically monitored without their active participation - the sensors and software agents continuously collect data passively in the background, allowing satisfaction evaluation to occur without requiring users to complete surveys or provide feedback

Inventive Principle:

Principle #25Self-service

2Productivity

If invasive sensors (cameras, microphones) are deployed for real-time satisfaction monitoring, then real-time data collection is enabled, but privacy concerns and data protection issues arise

Engineering Contradiction:

Improvereal-time satisfaction evaluationVSAvoidprivacy intrusion

Core Design Contradiction:

ProductivityVSObject-affected harmful factors

Solution Approach 1:

The patent extracts and processes only aggregated statistical features (average heart rate, respiration patterns, movement frequencies) from sensor data while deliberately excluding personally identifiable information, thereby separating useful satisfaction metrics from privacy-sensitive raw data

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system introduces intermediate processing layers including edge computing devices that perform local aggregation and anonymization of sensor data before transmission to central servers, acting as intermediaries that protect user privacy while enabling real-time satisfaction monitoring

Inventive Principle:

Principle #24Intermediary (Mediator)

3Measurement precision

If multiple sensor types (radar, optical, acoustic) are integrated for comprehensive data collection, then measurement accuracy and robustness improve, but system complexity and processing requirements increase

Engineering Contradiction:

Improveaccuracy of satisfaction metricsVSAvoidsystem architecture complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the monitoring system into distinct functional modules: radar sensors for physiological detection, optical sensors for behavioral tracking, acoustic sensors for vocal analysis, with each module independently processed and then integrated through data fusion algorithms, reducing overall system complexity while maintaining comprehensive monitoring capabilities

Inventive Principle:

Principle #1Segmentation

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables objective, real-time evaluation of user satisfaction with enhanced privacy, providing actionable insights across various industries.

Implementation Method 1

systems with facial detection and emotion recognition through video raise concerns about privacy and personal data protection

Methodology Applied

Scientific EffectRadar: Radar

Implementation Method 2

A microwave radio for Doppler radar sensing of vital signs

Methodology Applied

Scientific EffectDoppler effect: Doppler Effect

Implementation Method 3

optical and acoustic sensors used optionally

Methodology Applied

Scientific EffectLight reflection: Reflection

Implementation Method 4

acoustic sensors for real-time data fusion

Methodology Applied

Scientific EffectSound wave detection: Sound

Data Source

PatentUS20250213158A1System and Method for Calculating User Satisfaction Indices Based on Multimodal Data

Publication Date: 2025.07.03 WAYVEE INC

AI summary

A non-invasive, privacy-conscious system and method for calculating User Satisfaction Index (USI) in real-time using multi-sensory data fusion. The system is primarily based on radar sensors, ensuring privacy, while optical and acoustic sensors are optional and can be integrated as needed. It employs machine learning algorithms to analyze physiological (heart rate, respiration, micro-movements), emotional response, and behavioral (gestures, vocal intonation, facial expressions) markers. The User Satisfaction Index prediction and recommendation algorithms estimate users' satisfaction across various industries, including retail, healthcare, corporate environments, smart cities, transportation, and other fields.