Android application to parse live movement data from Nordic Thingy and Respeck sensors using Bluetooth. The app also classifies 44 stationary and dynamic activities, including running, hyperventilation, coughing etc., with a 97% accuracy. The TensorFlow classification models use Convolutional Neural Networks and were deployed using TFLite.
nisigit/HAR-App
Folders and files
| Name | Name | Last commit date | ||
|---|---|---|---|---|