Channel State Information (CSI) is often used to perform "Wi-Fi Sensing" and "Localization" prediction tasks. Most often, prediction is performed through some supervised machine learning algorithms. Supervised machine learning model require each sample to have a specific label (or classification) for training. To facilitate training such a model with CSI data collected from the ESP32 CSI Toolkit, this Android app allows the user a number of methods to label CSI samples in real-time while also recording the CSI data.
- Collect and Parse CSI from an ESP32 running the ESP32 CSI Toolkit (this feature uses the Android ESP32 CSI Library)
- Accurately keep track of timestamps for samples
- Real-time sample labelling (important for supervised machine learning algorithms)
- Timer (Action changes every t seconds)
- Press and Hold (Action is only recorded when the user presses a button on screen)
- Toggle (Action switches to the next state after each press-and-release)
- Manual Input (Manually type the current action into the text-input box)
git clone --recurse-submodules https://github.com/StevenMHernandez/Android-CSI-Labelling-App.git
In ./app/src/main/AndroidManifest.xml, uncomment the desired labelling method.
For example the below sample would select the "PressAndHold" labelling method:
<!-- <activity android:name=".Experiments.TimerMainActivity"> -->
<activity android:name=".Experiments.PressAndHoldMainActivity">
<!-- <activity android:name=".Experiments.ToggleMainActivity"> -->
<!-- <activity android:name=".Experiments.ManualInputMainActivity"> -->
In the MainActivity selected in the previous step, edit the ./app/src/main/java/com/stevenmhernandez/csi_labelling_app/.java file
Plug in your android device into computer, then press run in Android Studio. After installation, unplug smartphone and plug ESP32 into smartphone with a USB OTG cable.