In this article, we discuss the performance of a sensor system with 12 input features and a time-domain dataset, accompanied by a 4-sensor label output with time-domain values. To evaluate the model’s performance, we focus on the Mean Absolute Error (MAE) metric. We’ll explore the significance of the MAE values obtained and the implications for… Read More »Understanding and Assessing the Performance of a Sensor System with Mean Absolute Error
In this article, we explore how we utilized ChatGPT, specifically the GPT-4 model, to identify the best artificial neural network library and model for a system with 12 sensor input features and a time-domain dataset, accompanied by a 4-sensor label output with time-domain values. Not only did GPT-4 provide valuable insights, but it also assisted… Read More »Enhancing Real-Time Predictions with GPT-4 for a Time-Domain Sensor System
The screenshots are for only 1 sensor from OpenMuscle12 and only 1 finger from LASK4. Download the full dataset and play around with it and tell us what you think.Here is the raw data for the feature and label data taken from Open Muscle:
Introducing the LASK4 System: The Biometric Prosthetic Sensor Label Acquiring Device (prototype Stage) The LASK4 system is a groundbreaking device designed to aid individuals who require hand rehabilitation due to surgeries or other circumstances. But what exactly is the LASK4 system and how does it work? The LASK4 system, also known as the Label Seeking… Read More »LASK4 Update – The Label Seeking AI Companion to Open Muscle
The LASK4 systems was designed to help me train artificial neural networks with finger movement data. These labels are what we use along side Open Muscle to find the least expensive prosthetic sensor. All released opensource and open hardware, find out what we are up to.
In recent years, the growth of open-source hardware has gained traction, especially with the advent of the Internet of Things (IoT) devices. It has given rise to a new wave of makers and innovators who are creating affordable, accessible, and customizable devices. One of the latest additions to the growing open-source hardware is the Open… Read More »A Breakthrough in Open-Source Biometric Sensors Under the CERN Open Hardware License
I had the pleasure of meeting a remarkable team that shares the same vision as Open Muscle. This team is dedicated to addressing the prosthetic sensor problem by creating open source hardware and software solutions, and their latest creation is the uMyo wearable EMG device with wet/dry electrodes. Although the uMyo is currently in the… Read More »Ultimate Robotics A Company after our own heart!
Open-source prosthetic sensors are revolutionizing the field of prosthetics and making it easier for people with disabilities to regain their independence. By utilizing open-source technologies, these sensors are providing a low-cost and accessible solution for people in need of prosthetics. In this blog post, we’ll take a closer look at open-source prosthetic sensors, how they… Read More »Open-Source Prosthetic Sensors
The last Open Muscle version 12 had two variations: The 6X2 and the 12X1 named based on their sensor configuration. The next Open Muscle system will be called Open Muscle 24 or when referenced on github or in code: OM-24. There will be only one variation this time around but we are also designing the… Read More »Open Muscle 24 is coming soon!
Deep learning has shown a great promise in many areas of technology were data widely available. There are certain areas that deep learning can be applied to but the infrastructure for data collection is young and not yet matured. Open Muscle aims to supply not just the hardware for biometric muscle contraction data collection but… Read More »Deep Learning in Prosthetic Sensors