{"id":24330803,"url":"https://github.com/andreimoraru123/imu","last_synced_at":"2026-05-15T13:02:03.621Z","repository":{"id":63775321,"uuid":"515165165","full_name":"AndreiMoraru123/imu","owner":"AndreiMoraru123","description":"Data Fusion via Quaternions for MPU-6050 Accelerometer \u0026 Gyroscope","archived":false,"fork":false,"pushed_at":"2023-05-04T08:26:13.000Z","size":25,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-08T13:08:20.317Z","etag":null,"topics":["accelerometer","arduino","butterworth","gyroscope","imu-sensor","imufilter","kalman-filter","matlab","mpu-6050","quaternion","romanian","sensor-fusion"],"latest_commit_sha":null,"homepage":"","language":"MATLAB","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AndreiMoraru123.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-07-18T11:59:19.000Z","updated_at":"2024-09-21T12:39:54.000Z","dependencies_parsed_at":"2024-12-01T07:35:27.992Z","dependency_job_id":null,"html_url":"https://github.com/AndreiMoraru123/imu","commit_stats":null,"previous_names":["andreimoraru123/imu","andreimoraru123/sensingimu"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AndreiMoraru123%2Fimu","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AndreiMoraru123%2Fimu/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AndreiMoraru123%2Fimu/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AndreiMoraru123%2Fimu/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AndreiMoraru123","download_url":"https://codeload.github.com/AndreiMoraru123/imu/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243021780,"owners_count":20223068,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["accelerometer","arduino","butterworth","gyroscope","imu-sensor","imufilter","kalman-filter","matlab","mpu-6050","quaternion","romanian","sensor-fusion"],"created_at":"2025-01-18T01:14:34.776Z","updated_at":"2025-10-13T15:42:36.623Z","avatar_url":"https://github.com/AndreiMoraru123.png","language":"MATLAB","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Sensor Fusion for Inertial Measurement Unit MPU-6050\n\n![Arduino](https://img.shields.io/badge/-Arduino-00979D?style=for-the-badge\u0026logo=Arduino\u0026logoColor=white)\n\n## Data fusion solution for IMU sensors in MATLAB\n\nRun `ArduinoQuaternion.m` first to get the biases (sensors have run-to-run biases). Then run `StateOfTheArtComparison.m` to see the differences between this solution and MATLAB's own `imufilter` implementation.\n\n##  Harware Config: Arduino Nano 3 + MPU-6050 (accel \u0026 gyro)\n\n\u003cp align=\"center\"\u003e\n\n  Hardware                   |                    Specs             \n  :-------------------------:|:-------------------------:\n   \u003cimg src=\"https://user-images.githubusercontent.com/81184255/179507012-5037c3da-6fbf-4166-a7c0-cd539bf88132.png\" width=\"400\"/\u003e | \u003cimg src=\"https://user-images.githubusercontent.com/81184255/214922966-faf0d4bd-be57-43b5-9d6a-33a71f420faa.png\" width=\"400\"/\u003e\n   \n\u003c/p\u003e\n\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://user-images.githubusercontent.com/81184255/179507307-474d4e89-54a0-45c0-b766-2c8e626e5eac.gif\" width=\"1000\"/\u003e\n\u003c/p\u003e\n\n![image](https://user-images.githubusercontent.com/81184255/179507342-5f3b7f15-19e0-4187-96d0-5f9744cfb9d0.png)\n\nHere is the written version of all of this (AQTR 2022):\n\n[AQTR_2022_paper_96.pdf](https://github.com/AndreiMoraru123/SensorFusion/files/10094538/AQTR_2022_paper_96.pdf)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fandreimoraru123%2Fimu","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fandreimoraru123%2Fimu","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fandreimoraru123%2Fimu/lists"}