Gesture Classifier with Tensorflow Lite Micro on Arduino Nano33 BLE Sense Board

Опубликовано: 14 Апрель 2026
на канале: phoque6
448
5

Managed to resolve the arduino online IDE WebEditor plugin issue for chromium on Raspberry Pi4. So everything is running direct on the Pi 4 now.Proceed to collect gesture data from multiple arm flexes and punching gestures to pipe into tensorflow for training of models in tensorflow and machine learning for classifier use. Training is done using Google Colab so any setup was done in the cloud saving much work and environment setups. It will learn from the given gesture data and classify future gestures into either a "Punch" or a "Flex". The trained model is then downloaded and used in the arduino classifier codes. Success! 🤗 Now, to get the classified punch and flex to appear as emoticons and not just data when gestures are classfied -the next mini problem to solve 🙈🤔😎🤓🥴. Tensorflow Lite Micro on the new Arduino Nano33 BLE Sense 😎🤪🤗 #makers #makersgonnamake #makerspacemovement #microcontroller #instatechnology #technology #instructables #smartnationsg #instadaily #programming #instaprojects #maker #raspbian #raspberrypi3 #tech #hack #instatech #tensorflow #deeplearning #opencv #OpenCV #raspberrypiprojects #raspberrypi4 #pi4 #nano33 #nano33iot #arduinonanov3 #nano33blesense #arduino #arduinoprojects #googlecolab