aqibsaeed/Human-Activity-Recognition-using-CNN
Convolutional Neural Network for Human Activity Recognition in Tensorflow
This project helps you classify everyday physical actions, like walking, jogging, or sitting, from sensor data. It takes raw data from smartphone accelerometers and gyroscopes and tells you exactly what activity a person was performing. This tool is useful for researchers or product developers working with wearable technology or health monitoring applications.
486 stars. No commits in the last 6 months.
Use this if you need to automatically detect and categorize human activities from motion sensor data.
Not ideal if you're looking to identify individuals based on their movement patterns, rather than just the type of activity.
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Nov 16, 2022
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