microbit-ml

Gesture recognizer

A gesture recognition tool using machine learning and Microbit's accelerometer data to classify user gestures

gesture recognition tool for the microbit using BLE

GitHub

6 stars
2 watching
2 forks
Language: JavaScript
last commit: about 4 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
sciactive/tinygesture A JavaScript library for recognizing small user gestures such as taps, swipes, and pinches. 210
thjaeger/easystroke An X11-based application that recognizes user gestures and translates them into system actions 515
simplisticated/sensitive Simplifies gesture recognition in iOS by providing a unified API for various gestures 551
b3ll/swiftygesturerecognition An Xcode playground project to simplify UIGestureRecognizers prototyping 163
nickgillian/grt A C++ machine learning library designed to recognize and classify gestures in real-time sensor data 864
bautolp/gesture_recognition An implementation of real-time gesture recognition using machine learning algorithms and computer vision techniques. 3
optozorax/gesture-recognizer Provides an API to recognize and handle simple gestures from touch events 6
amitshekhariitbhu/androidtensorflowmnistexample A machine learning project that trains an Android model to recognize handwritten digits using TensorFlow and MNIST dataset. 464
iwatake2222/pico-mnist Recognizes handwritten digits on an LCD display using Raspberry Pi Pico and TensorFlow Lite 61
tamakichi/ttbasic_microbit A portable, text-based programming language and environment for the micro:bit microcontroller 8
johanneslumpe/react-native-gesture-recognizers A utility library for handling user gestures in React Native applications 366
nickschot/ember-mobile-core Provides utilities and components for handling touch events on mobile devices 11
didierbrun/dbpathrecognizer A tool for recognizing and matching gestures on touch screens by analyzing sequences of points 1,176
swift-ai/neuralnet-mnist An open-source project that trains a neural network using the MNIST dataset to recognize handwritten digits. 34
technica-corporation/microbit-ml An IoT device detects anomalies in tri-axial accelerometer data to prevent equipment failure and damage 8