dspanah/Human-Activity-Recognition-Keras-Android
Sensor-based human activity recognition from smartphone data in Keras with on-device inference
This project offers an Android application that uses smartphone sensor data to automatically identify common daily activities like biking, jogging, sitting, or walking. It takes raw movement data from your phone's sensors and classifies it into one of seven everyday activities. People interested in health tracking, fitness monitoring, or behavioral research could use this to automatically log physical activity.
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Use this if you need to classify common human activities (biking, jogging, sitting, standing, walking, upstairs, downstairs) directly on an Android device using its built-in sensors.
Not ideal if you need to recognize a wider range of custom activities or require a solution for non-Android devices.
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40
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13
Language
Java
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Last pushed
May 16, 2019
Commits (30d)
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