Electronic Device Speed Calibration Using GPS and Pedometer Data

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Solution Overview

Problem

Existing electronic devices face challenges in accurately measuring real-time movement speed, particularly in environments with poor GPS signal visibility and when users move slowly, due to limitations in Doppler shift-based methods and variations in step length.

Innovation Solution

An electronic device that combines GPS signal-based velocity measurement with acceleration sensor data to estimate step frequency and length, calibrating movement speed based on context information and movement type, using a processor to integrate GPS and pedometer information for accurate real-time speed calculation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If GPS signal-based velocity measurement is used, then real-time movement speed can be measured in open sky environments, but measurement accuracy deteriorates in environments with poor GPS signal visibility such as downtown areas with high buildings

Engineering Contradiction:
Improvemovement speed measurement accuracyVSAvoidGPS signal visibility
Core Design Contradiction:
Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent combines GPS-based velocity measurement with pedometer-based velocity measurement into a unified system. The processor selectively uses GPS velocity data when GPS signal quality is sufficient, and pedometer velocity data when GPS signal quality is poor, thereby maintaining measurement accuracy across different environmental conditions.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The system dynamically changes the measurement parameter source based on GPS signal quality. When GPS signal quality is good, it uses Doppler shift-based velocity measurement; when GPS signal quality deteriorates, it switches to step frequency-based velocity measurement, thus adapting to different signal conditions.

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If Doppler shift-based method is used for speed measurement, then real-time speed can be measured, but measurement accuracy deteriorates when user moves slowly such as walking

Engineering Contradiction:
Improveslow speed measurement accuracyVSAvoiduser movement speed
Core Design Contradiction:
Measurement precisionVSSpeed

Solution Approach 1:

The system changes the measurement method based on the user's movement speed. For slow movements like walking, it uses pedometer-based velocity measurement which counts steps and calculates speed from step frequency and step length. For faster movements, it uses GPS-based Doppler shift measurement, thus maintaining accuracy across different speed ranges.

Inventive Principle:
Principle #35Parameter changes

3Use of energy by moving object

If pedometer-based speed estimation is used, then real-time speed measurement with low power consumption is achieved, but accuracy deteriorates due to variations in individual step length and situational factors

Engineering Contradiction:
Improvepower consumptionVSAvoidmovement speed accuracy
Core Design Contradiction:
Use of energy by moving objectVSMeasurement precision

Solution Approach 1:

The patent merges pedometer-based velocity measurement with GPS-based velocity measurement. The processor uses pedometer data (step frequency and step length) to calculate velocity, but calibrates and adjusts this data using GPS velocity information when available, thereby maintaining low power consumption while improving accuracy by compensating for individual step length variations.

Inventive Principle:
Principle #5Merging (Combining)

4Measurement precision

If GPS-only method is used for speed measurement, then real-time speed is provided, but device complexity increases when combining multiple sensing methods

Engineering Contradiction:
Improvemovement speed accuracyVSAvoidsensor integration complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The processor is designed to perform multiple functions: it can process GPS signal data for velocity calculation, process acceleration sensor data for step detection and step length estimation, and selectively combine these data sources. This multi-functional design enables accurate speed measurement across different conditions without requiring separate dedicated processing units for each sensing method.

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

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

The solution provides accurate and reliable real-time movement speed measurement, minimizing the impact of GPS signal quality and user-specific step length variations, by calibrating speed based on learned step lengths and movement types, thus improving accuracy across different environments and user conditions.

Implementation Method 1

the electronic device may detect a GPS signal received from the outside and estimate and/or identify the movement speed of the electronic device and the user based on the principle that when an electronic device moves, the length and/or phase of the wavelength of a detected GPS signal changes (i.e., the Doppler shift effect)

Methodology Applied
Scientific EffectDoppler shift effect: Doppler Effect

Data Source

PatentUS12076618B2Electronic device for providing real-time speed based on GPS signal and/or pedometer information, and method of controlling the same
Publication Date: 2024.09.03 SAMSUNG ELECTRONICS CO LTD
  • US12076618B2 patent drawing
  • US12076618B2 patent drawing
  • US12076618B2 patent drawing

AI summary

According to various embodiments, an electronic device may include a communication circuit, an acceleration sensor, and at least one processor, and the at least one processor may be configured to identify a first movement speed of the electronic device by using the communication circuit, identify a step frequency of a user by using the acceleration sensor, identify a movement type of the user based on the identified step frequency, and output a movement speed of the electronic device by calibrating the first movement speed based on the identified movement type.