{"id":2856,"date":"2025-10-29T13:30:14","date_gmt":"2025-10-29T12:30:14","guid":{"rendered":"https:\/\/blog.fh-kaernten.at\/med-tech\/?p=2856"},"modified":"2025-10-29T13:40:04","modified_gmt":"2025-10-29T12:40:04","slug":"robotic-hand","status":"publish","type":"post","link":"https:\/\/blog.fh-kaernten.at\/med-tech\/2025\/10\/29\/robotic-hand\/","title":{"rendered":"Controlling a Robotic Hand with Muscle Signals"},"content":{"rendered":"\t\t
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Hi, I\u2019m Max! I recently graduated from the Carinthia University of Applied Sciences with a degree in Medical Engineering and Analytics. For my master\u2019s thesis, I worked on a project that focused on controlling a robotic hand in real time using the electrical activity of human muscles.<\/span><\/p>

Collecting the Data and Convincing Friends to Help
<\/b><\/span>Before I could make the robotic hand move, I needed plenty of data. So, I asked my friends and colleagues to lend me a hand (intended wordplay). They performed eight different hand gestures while I recorded the electromyography (EMG) signals from their forearms.<\/p>

\"\"<\/p>

Once I had enough data, I trained a neural network to recognize the gestures. The results were pretty encouraging: the model correctly classified test signals about 80% of the time.<\/span><\/p>

From Recorded Data to Real-Time Control
<\/b><\/span>Of course, recognizing prerecorded signals is one thing. I wanted the system to respond to live muscle activity from my own arm. After wrestling with some programming bugs and a few database issues, I finally managed to get the real-time pipeline running.
The results? The robotic hand performed the correct gesture around 50% of the time. Some gestures were clearly easier to classify than others.<\/p>

\"\"<\/p>

Looking Ahead
<\/b><\/span>While there\u2019s definitely room for improvement, I\u2019m proud of how far the project has come. It\u2019s exciting to see how human muscle signals can be used to control robots, and I hope future students will continue building on this work. Maybe one day, a robotic hand can perform every gesture a real human hand can do without many errors. This would help so many amputees out around the world.<\/p>

Have a great one!
Max<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

In this post, we will hear from Max K\u00f6rner, a fresh MEA master’s graduate, who will talk about his work exploiting electric muscle signals to control a robotic hand in real time.<\/p>\n","protected":false},"author":234,"featured_media":2878,"comment_status":"closed","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[13],"tags":[],"class_list":["post-2856","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-student-projects"],"yoast_head":"\nControlling a Robotic Hand with Muscle Signals - MedTech @FH Kaernten<\/title>\n<meta name=\"description\" content=\"In this post, we will hear from Max K\u00f6rner, who will talk about his work exploiting electric muscle signals to control a robotic hand in real time.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blog.fh-kaernten.at\/med-tech\/2025\/10\/29\/robotic-hand\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Controlling a Robotic Hand with Muscle Signals - 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