A hand tracking demo made with mediapipe where you can control lights with pinching your fingers and moving your hand up/down.

Last update: Feb 12, 2022

Overview

HandTrackingBrightnessControl

A hand tracking demo made with mediapipe where you can control lights with pinching your fingers and moving your hand up/down.

Programs:

Python3 - basic.py
Arduino - 1_DisplayLight_SerialBrightness.ino - Neopixel demo
Arduino - 1_SerialBrightness_PWM.ino - Regular LED demo

Requirements:

Python packages:

Mediapipe (pip3 install mediapipe)
CV2 (pip3 install opencv-python)
pySerial (pip3 install pyserial)
numpy (pip3 install numpy)

Hardware:

Webcam
Arduino
Neopixel LED-strip (unless you modify the code)

Pinout (Neopixel):

Arduino pin	Where you connect it
D2	LED Strip Din
5V	+5V
GND	GND

Pinout (Regular LED WITH A RESISTOR!):

Arduino pin	Where you connect it
D3	+LED
GND	-LED

Owner

Teemu Laurila

0: Code 1: Google 2: Goto 0

GitHub Repository

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A hand tracking demo made with mediapipe where you can control lights with pinching your fingers and moving your hand up/down.

Related tags

Overview

HandTrackingBrightnessControl

Programs:

Requirements:

Python packages:

Hardware:

Pinout (Neopixel):

Pinout (Regular LED WITH A RESISTOR!):

Owner

Teemu Laurila

Code accompanying paper: Meta-Learning to Improve Pre-Training

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pyhsmm - library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and explicit-duration Hidden semi-Markov Models (HSMMs), focusing on the Bayesian Nonparametric extensions, the HDP-HMM and HDP-HSMM, mostly with weak-limit approximations.

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