Radar-Based Gesture and Physiological Search Refinement

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Solution Overview

Problem

Conventional computer-aided search techniques often fail to provide desired results due to a lack of information, such as ambiguous search terms or insufficient context, leading to inadequate search results.

Innovation Solution

The implementation of a radar recognition-aided search system that uses a radar-based recognition system to determine gestures and physiological information, allowing for refined or query-based searches without explicit input.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional search algorithms are used, then search results can be tailored to user queries, but search results fail when search terms are ambiguous or insufficient

Engineering Contradiction:
Improvesearch result accuracyVSAvoidsearch context information
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The patent introduces radar-based physiological information and gesture recognition as intermediary data sources that bridge the gap between ambiguous user queries and accurate search results. The system uses radar to detect physiological states (heart rate, respiration, body temperature) and gestures (pointing, hand movements) as mediating information to disambiguate search intent and provide context-aware results.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent extends search beyond traditional text-based queries by adding new dimensions of data collection. Instead of relying solely on textual input, the system incorporates spatial information from gestures and physiological data from radar detection, creating a multi-dimensional search framework that captures user intent more comprehensively.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Adaptability or versatility

If radar-based recognition is used to detect gestures and physiological information, then search context is improved, but device complexity increases

Engineering Contradiction:
Improvesearch context awarenessVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent applies multi-functionality by using radar technology for multiple purposes: detecting gestures (pointing direction, hand movements), measuring physiological information (heart rate, respiration, body temperature), and determining user intent. This single technology serves multiple search enhancement functions, reducing the need for separate sensors for each function.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent merges gesture recognition and physiological information detection into a unified radar-based system. Instead of using separate cameras, microphones, and physiological sensors, the system combines multiple detection functions into a single radar platform, simplifying the overall device architecture while maintaining enhanced search context awareness.

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS20250077508A1Refining a Search Using Physiological Information
Publication Date: 2025.03.06 GOOGLE LLC
  • US20250077508A1 patent drawing
  • US20250077508A1 patent drawing
  • US20250077508A1 patent drawing

AI summary

This document describes techniques and devices for a radar recognition-aided search. Through use of a radar-based recognition system, gestures made by, and physiological information about, persons can be determined. In the case of physiological information, the techniques can use this information to refine a search. For example, if a person requests a search for a coffee shop, the techniques may refine the search to coffee shops in the direction that the person is walking. In the case of a gesture, the techniques may refine or base a search solely on the gesture. Thus, a search for information about a store, car, or tree can be made responsive to a gesture pointing at the store, car, or tree with or without explicit entry of a search query.