Summary of Mindarm: Mechanized Intelligent Non-invasive Neuro-driven Prosthetic Arm System, by Maha Nawaz et al.
MindArm: Mechanized Intelligent Non-Invasive Neuro-Driven Prosthetic Arm System
by Maha Nawaz, Abdul Basit, Muhammad Shafique
First submitted to arxiv on: 29 Mar 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Human-Computer Interaction (cs.HC); Robotics (cs.RO)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a low-cost, non-invasive neuro-driven prosthetic arm system called MindArm. It aims to address the limitations of current technological solutions for individuals with arm mobility impairments, which are often prohibitively expensive or require high-risk brain surgery. The MindArm system employs a deep neural network (DNN) to translate brain signals captured by low-cost surface electroencephalogram (EEG) electrodes into prosthetic arm movements. The system utilizes an Open Brain Computer Interface and UDP networking for signal processing, allowing seamless control of arm motion. Experimental results from a fully functional prototype show high accuracy across three actions. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The MindArm system is a low-cost, non-invasive solution that allows individuals with arm mobility impairments to control prosthetic arms using their brain signals. It’s an affordable alternative to current expensive and invasive solutions. |
Keywords
» Artificial intelligence » Neural network » Signal processing
