Abstract:
Pose estimation uses computer vision to predict and track a person or object. Looking at a person/object’s pose and orientation does this. Key points on an object are identified, located, and tracked to estimate pose.
Human key points are elbows and knees. This Python-based Pose Estimation project detects and tracks elderly gait abnormalities. Humans get sicker as they get older.
Dementia, Alzheimer’s, and arthritis can be detected early by assessing a person’s gait and pose.
Dementia usually develops with age. However, early detection is rare, making treatment difficult. After initial analysis, computerizing the entire activity is suggested due to system anomalies.
Python and Django Framework build the web app. Admin and User access the proposed system. Admin must login first. Light is needed to detect the person.
After login, the admin can see all User data and Pose detection results. Python powers the back-end and Html, CSS, and JavaScript the front-end. CNN, Django, and MySQL are used. We use OpenCV, Dlib, and TensorFlow.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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