finger-strength

This project is still a work in progress

I've been a climber since 2015, and I've always aimed to "scientifically" measure my grip strength. With this project, I'm endeavoring to create something akin to the Lattice training digital rung. You can watch this video by Lattice Training where they test the grip strength of professional climber Stefano Ghisolfi using the digital rung.

At the moment, my software only measures maximum voluntary contraction, but I may incorporate critical force assessment in the future. Here are some pictures of my homemade version of the digital rung.

I will share more pictures about this project and especially pictures of the software. I will also share more details on how to do the setup.

Inspiration

I got inspired by the awesome work done by Phillip Bulling in Python. My setup is different tho, I use a hx711 load cell and a Raspberry pi 3. My software uses web technologies:

• TypeScript and React for the frontend
• Go for the backend

Hardware setup

• A load cell high precision. Mine is a 100kg load cell capacity but it will also work with other capacities.
• A hx711 load cell amplifier
• I used a Raspberry pi 3 B+ but it can probably work with newer Raspberry pi versions

Hardware wiring

• The load cell red cable is connected to hx711 E+
• The load cell black cable is connected to hx711 E-
• The load cell green cable is connected to hx711 A-
• The load cell white cable is connected to hx711 A+
• The hx711 VCC is connected to Raspberry pi 3.3V pin
• The hx711 Data (DT) is connected to Raspberry pi GPIO pin 5
• The hx711 Clock (SCK) is connected to Rapsberry pi GPIO pin 6
• The hx711 ground (GND) is connected to Raspberry pi GPIO ground

Main dependency

This service uses the Raspberry Pi HX711 C++ library to access the weight outputs of a hx711 loadcell.