3-channel EMG allows to control individual fingers with very little delay.
Project tutorial by Dmitry Dziuba
A rather convenient device to monitor heart rate while running.
LED ring that blinks to your heart beats and displays current BPM both by number and color of illuminated LEDs.
At the core of any time-lapse rig is the controller – an “intervalometer." This one delivers all the functionality of units costing many $k.
Project tutorial by greiginsydney
I implemented an Arduino NFC reader inside my motorbike so I'm able to start and stop it just with the implant in my hand.
Project showcase by bujna94
An easily customizable Geiger Muller counter.
Project tutorial by juliandwillett
Yes, unfortunately for this timeline it's not an option. But you can keep it in mind for later :)
You might have problems putting it all together as a wearable, that requires some trial and error (and if you have little experience, maybe you'll need quite a few tries). But no doubt you can assemble it, after all it's only 12 wires, even if you'll need 30 minutes for each, you still can complete it in 6 hours :) And code (a) definitely works, I wrote and tested it, and (b) I'll be checking comments and will help if something goes wrong.
Also you can use this setup to get BPM on PC via serial monitor.
Just keep in mind: if you will order uECG device now, you'll get it either in late September or early October, first batch will be sent in production in about 2 weeks and this process takes some time.
Thanks :) Not sure about the whole body now (if it works well, then later yes), but definitely we'll try more sensors on a hand to get better sensitivity.
Breadboard is unnecessary here - really no wires should be splitted, so it's easier to just plug them into Arduino (or even directly solder them, as I did). But you are right about Arduino being not enough for better results: in the next iteration of the project, I will process data on PC, this way it's possible to extract much more information (on Arduino you can only get "average" muscle strength because it can't receive the whole data packet from uECG - on PC you can see "shape" of muscle activation pattern, and it's different depending on which finger/finger combination you use)
Or connect with your social account:
New here? Create an account