aqibsaeed/On-device-activity-recognition
Personalized machine learning on the smartphone
This project helps app developers create personalized activity recognition features for their smartphone apps. It takes raw sensor data from a smartphone, allows for on-device training, and then outputs a model that can recognize specific user activities directly on the device. App developers building health, fitness, or smart-home applications would find this useful.
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Use this if you are an Android app developer looking to integrate custom, on-device activity recognition into your application without sending user data to the cloud.
Not ideal if you need to build activity recognition models for wearable devices or handle audio-based activity data, as these features are not yet supported.
Stars
60
Forks
18
Language
Java
License
Apache-2.0
Category
Last pushed
Mar 25, 2023
Commits (30d)
0
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