Human Activity Recognition using Machine Learning
Human Gait Recognition, this project developed using python programming language and graphical user interface designed in tkinter. When user run python script then home page will open and it gave option of Video Uploading and live streaming. In Video uploading option, user can upload any video and it will identify the person and recognize that particular Human Skelton. Other option is for live streaming, in that option laptop front camera will open and it will recognize by live streaming and identifying gait.
Human Gait Recognition refers to use of video of human gait, and it processed by computer vision methods, to identify or recognize person based on their walking styles and body shape. In this project first we have to train model from input video of person after that laptop camera can open and it recognize the person as well as gait or body structured.
Biometric identification like fingerprints, retina, palm and voice recognition needs subject’s permission and physical attention, but Human Gait recognition works on the gait of walking subjects to identify people without them knowing or without their permission. The purpose of this report is to summarize the research and related work done in the past on human gait recognition system and to solve algorithms which help in identify walking subject from distance without any permission and interference of the walking subject.
- On Home page, four more option will be there; Add Person, About Project, About Us, Exit Button.
- In Add person option, user have to provide the input video of person and model will trained on that particular person face, so that if user gave input video of person then model can easily recognize that person,
- In About Project Page, developer can add details of project in that particular page with detail description and algorithm. In About Us Page developer can enter their team details in that particular page.
Human Gait Activity Recognition Machine Learning
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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