Trajectory Algorithm Selection via Motion Mode Detection
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Solution Overview
Problem
Current devices for determining a user's trajectory are limited to specific modes of movement and require multiple devices, which are impractical and difficult to use across different modes due to differing sensors and dependencies on specific systems or pre-deployed infrastructure, leading to significant errors when these systems are not available.
Innovation Solution
A method and device that utilize a measurement system with an accelerometer and gyrometer to detect changes in movement modes by analyzing acceleration and angular velocity, allowing for the selection of appropriate trajectory determination algorithms without relying on specific systems or pre-acquired information, enabling seamless transition between modes with low error rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple dedicated devices are used for different modes of movement, then measurement precision for each mode is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent implements a single measuring system that can determine trajectories across multiple modes of movement (walking, running, vehicle travel, cycling) by detecting movement characteristics and automatically selecting appropriate algorithms. This universal system eliminates the need for multiple dedicated devices while maintaining accuracy through adaptive algorithm selection based on detected movement patterns.
Solution Approach 2:
The system dynamically adapts its operation by continuously monitoring acceleration and angular velocity data to detect changes in movement mode. When a mode change is detected, the system automatically transitions between different trajectory determination algorithms, making the single device as effective as multiple static devices for their respective modes.
2Measurement precision
If multiple dedicated devices are used for different modes of movement, then measurement precision for each mode is improved, but ease of operation worsens
Solution Approach 1:
The measuring system performs self-service by automatically detecting the current mode of movement through analysis of acceleration and angular velocity patterns, then autonomously selecting the most appropriate trajectory determination algorithm without requiring user input. This eliminates the need for users to manually switch between devices or configure settings, significantly improving ease of operation while maintaining high measurement precision.
Solution Approach 2:
The system dynamically responds to changes in movement patterns by continuously monitoring sensor data and automatically adjusting its algorithm selection when mode transitions are detected, providing seamless operation across different activities without user intervention.
3Measurement precision
If devices depend on specific systems or pre-acquired information, then measurement precision is improved in controlled environments, but adaptability worsens
Solution Approach 1:
The system dynamically evaluates the availability and reliability of different data sources (GNSS, WiFi, cellular towers, inertial sensors) and adaptively selects the most appropriate trajectory determination algorithm based on current environmental conditions. This allows the device to maintain high accuracy whether operating in controlled environments with infrastructure support or in remote areas relying solely on inertial measurement, achieving both precision and adaptability.
Solution Approach 2:
The system changes its operational parameters by switching between different algorithm configurations based on detected movement mode and available infrastructure. For example, it may use GNSS-based algorithms when satellite signals are available, transition to WiFi fingerprinting in urban environments, or rely on inertial dead reckoning in remote areas, thereby adapting to various conditions while maintaining accuracy.
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 precise and intuitive determination of a user's trajectory across multiple modes of movement using a single device, independent of pre-deployed systems, with reduced error rates and improved user experience, meeting privacy requirements and functioning in various environments.
Implementation Method 1
acquiring data comprising an acceleration and an angular velocity of a measuring system
Implementation Method 2
acquiring data comprising an acceleration and an angular velocity of a measuring system
Data Source
Figure 1
Figure 2A~2C
Figure 3A~3B
AI summary
A measurement system (10) comprising an accelerometer (33) and a gyrometer (34) is configured to be fixed detachably to a plurality of supports (120). A guide element (122) provided on each support (120) comprises a set of reliefs (123, 123') which is different for each support (120). In one example, the method comprises a detection step involving detecting a movement comprising a rotation of the measurement system with respect to the support which is defined by the guide element (122), and detecting the collaboration element (111) coming into contact, during the rotation, with the set of reliefs (123, 123'), and a selection step involving selecting the path-determination algorithm according to the set of reliefs (123, 123') with which the collaboration element (111) has come into contact.