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pm:prj2026:andrei.batasev:vlad.hosu [2026/05/05 13:45] vlad.hosu |
pm:prj2026:andrei.batasev:vlad.hosu [2026/05/05 13:50] (current) vlad.hosu [Descriere generală] |
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| ====== Wearable Running Monitoring System: GPS Tracker with Inertial Correction ====== | ====== Wearable Running Monitoring System: GPS Tracker with Inertial Correction ====== | ||
| - | ===== Introducere ===== | + | ===== Introduction ===== |
| The project consists of the design and implementation of a wearable embedded system for monitoring running activity, with the primary objective of accurately estimating the distance traveled by the user. Inspired by commercial fitness tracking applications such as Strava, the project aims to evaluate how closely a similar level of functionality and accuracy can be achieved using low-cost hardware and a resource-constrained platform. | The project consists of the design and implementation of a wearable embedded system for monitoring running activity, with the primary objective of accurately estimating the distance traveled by the user. Inspired by commercial fitness tracking applications such as Strava, the project aims to evaluate how closely a similar level of functionality and accuracy can be achieved using low-cost hardware and a resource-constrained platform. | ||
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| [[https://github.com/vladhsu/PM_Project|GitHub Repository]] | [[https://github.com/vladhsu/PM_Project|GitHub Repository]] | ||
| - | ===== Descriere generală ===== | + | ===== General Description ===== |
| The system is composed of multiple hardware and software modules that interact to achieve the final functionality. | The system is composed of multiple hardware and software modules that interact to achieve the final functionality. | ||
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| A key contribution of this project is a lightweight sensor fusion mechanism that validates GPS-based displacement using inertial step detection. This approach significantly reduces GPS drift without relying on computationally expensive filtering algorithms, making it suitable for resource-constrained microcontrollers. | A key contribution of this project is a lightweight sensor fusion mechanism that validates GPS-based displacement using inertial step detection. This approach significantly reduces GPS drift without relying on computationally expensive filtering algorithms, making it suitable for resource-constrained microcontrollers. | ||
| - | {{:pm:prj2026:andrei.batasev:vlad.hosu:schema_blocv2.png?linkonly| Schema Bloc}} | + | {{:pm:prj2026:andrei.batasev:vlad.hosu:schema_blocv2.png?700| Schema Bloc}} |
| ===== Hardware Design ===== | ===== Hardware Design ===== | ||
