{"id":15136005,"url":"https://github.com/ozep/asl-interpreter","last_synced_at":"2026-01-20T10:33:19.288Z","repository":{"id":213890213,"uuid":"735186943","full_name":"oZep/ASL-Interpreter","owner":"oZep","description":"Hand tracking module empowered by OpenCV and MediaPy, customized to detect letters via sign language (ASL)","archived":false,"fork":false,"pushed_at":"2023-12-29T03:38:50.000Z","size":72,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-12T08:33:03.839Z","etag":null,"topics":["mediapy","opencv-python","pycharm","python"],"latest_commit_sha":null,"homepage":"","language":"Python","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/oZep.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"MIT-LICENSE.txt","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":"2023-12-24T01:20:10.000Z","updated_at":"2024-02-29T23:14:34.000Z","dependencies_parsed_at":"2023-12-29T04:39:13.405Z","dependency_job_id":"d4d87e98-fb88-4f08-a934-a13b62f2f255","html_url":"https://github.com/oZep/ASL-Interpreter","commit_stats":null,"previous_names":["ozep/handtracking"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oZep%2FASL-Interpreter","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oZep%2FASL-Interpreter/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oZep%2FASL-Interpreter/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oZep%2FASL-Interpreter/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/oZep","download_url":"https://codeload.github.com/oZep/ASL-Interpreter/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247425425,"owners_count":20936948,"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":["mediapy","opencv-python","pycharm","python"],"created_at":"2024-09-26T06:03:23.248Z","updated_at":"2026-01-20T10:33:19.260Z","avatar_url":"https://github.com/oZep.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# HandTracking (ASL Interpreter)\n\n[23/12/2023] - Present\n\n- Using OpenCV and MediaPy\n\nhttps://github.com/oZep/HandTracking/assets/97713154/899c24fd-c1d9-43c3-a08b-800a034008db\n\n\n# Main Idea\n\u003cimg width=\"1073\" alt=\"hand-landmarks\" src=\"https://github.com/oZep/HandTracking/assets/97713154/cd23c2fd-d38d-4bfe-b095-496a580b42c3\"\u003e\n\n![image](https://github.com/oZep/HandTracking/assets/97713154/a7412c7e-72fe-49c8-8981-b5f996b71e01)\n\nThis module will help interpret these symbols and enable beginners to understand ASL instantly. \n\nAfter the main ASL interpreter module is complete, I will take this project into the real world and decode ASL via Audio connected to a headset\n\n## Progress\n- Main Landmark Decoding Logic Complete\n- Finished assigning Alphabet Landmarks it's correct POI (points of interest) and set up a way to have orientation of the hand be considered (ORT)\n- Testing all characters, I found the program has issues distingishing between gestures that are very similar to eachother but very by lenght between landmarks, especially with C and O. I think calculating the distance between all hand landmarks will be the next step in making the system more precise. \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fozep%2Fasl-interpreter","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fozep%2Fasl-interpreter","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fozep%2Fasl-interpreter/lists"}