curiousily/TensorFlow-on-Android-for-Human-Activity-Recognition-with-LSTMs
iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android
This project helps you classify human activities using sensor data from a smartphone. You feed in raw accelerometer and gyroscope readings, and it tells you what activity a person is performing, such as walking or standing. This is useful for mobile app developers or researchers creating fitness trackers, health monitoring apps, or interactive sports applications.
196 stars. No commits in the last 6 months.
Use this if you need to build a mobile application that automatically detects and recognizes human activities from smartphone sensor data.
Not ideal if you are looking for a pre-trained, production-ready solution without any development work, or if your primary interest is server-side activity recognition.
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Jan 14, 2021
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