Wireless-Signal Spatial Mapping for Accurate Motion Localization

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Solution Overview

Problem

Existing motion detection systems using wireless signals lack the ability to accurately determine the location of motion due to the lack of positional information provided by MAC addresses, leading to inaccurate localization and increased false alerts.

Innovation Solution

A motion detection system that generates spatial maps based on wireless signals exchanged between multiple devices, using channel information and beamforming techniques to refine localization by accounting for the relative centrality of devices within a space, thereby improving localization accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If wireless signals are used for motion detection, then the system can detect motion presence, but the location of motion cannot be accurately determined

Engineering Contradiction:
Improvelocalization accuracyVSAvoidpositional information
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The patent transforms one-dimensional wireless signal detection into two-dimensional spatial localization by introducing spatial maps that map wireless links to physical locations. The system creates a spatial representation where wireless communication links are associated with geographic coordinates, enabling accurate 2D localization of motion events based on signal changes across multiple spatial points.

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

Solution Approach 2:

The patent introduces spatial maps as an intermediary structure between wireless signal data and motion localization. The spatial map serves as a mediator that associates wireless links with spatial coordinates, allowing the system to translate abstract wireless signal changes into concrete spatial location information without requiring direct positional sensors.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Ease of manufacture

If MAC addresses are used to identify devices, then device identification is simple, but positional information is not provided

Engineering Contradiction:
Improvedevice identification simplicityVSAvoidpositional information
Core Design Contradiction:
Ease of manufactureVSLoss of information

Solution Approach 1:

The patent makes MAC addresses multi-functional by using them to identify both devices and their spatial locations. The system associates MAC addresses with spatial coordinates in the spatial map, allowing a single identifier to serve both device recognition and positional localization functions, eliminating the need for separate positioning identifiers.

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

3Reliability

If motion detection is performed without spatial maps, then the system is simpler to implement, but false alerts increase due to inaccurate localization

Engineering Contradiction:
Improvemotion detection accuracyVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent performs preliminary action by pre-establishing spatial maps that associate wireless links with spatial coordinates before motion detection occurs. The system pre-processes wireless network topology and creates spatial relationships in advance, so that when motion is detected, the location can be immediately and accurately determined without complex real-time calculations.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS12449529B2Utilizing spatial maps for motion localization based on motion-sensing data derived from wireless signals
Publication Date: 2025.10.21 COGNITIVE SYST
  • US12449529B2 patent drawing
  • US12449529B2 patent drawing
  • US12449529B2 patent drawing

AI summary

A method includes obtaining a set of motion indicator values associated with a time frame. The set of motion indicator values indicating motion detected from wireless links in a wireless communication network during the time frame. The method also includes generating a probability vector comprising values for the connected wireless communication devices and generating spatial coordinates for respective wireless communication devices. The spatial coordinates for each wireless communication device representing a location of the wireless communication device in space. The method also includes modifying the probability vector based on the spatial coordinates of each wireless communication device to generate a modified probability vector representing a probability of motion at the connected wireless communication device during the time frame. The method also includes using the modified probability vector to localize motion relative to the wireless communication device during the time frame.