🥇 The machine and code utilized in our work were originally developed by Linus Remahl, a research engineer at KTH. His expertise and support have been crucial throughout the process of calibrating and improving both the machine and the code.
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Go to Linus github profile here ➡️ Linus 👤.
🥈 We are five students pursuing a degree in Medical Engineering at KTH in Stockholm, Sweden, currently in our third year of study.
🥉 This product is part of a course called "Tehcology and Health, Project Course" where we get to invent/improve a product.
- Our product utilizes a motor (sourced from a motorized longboard, with future models planned to feature an ODrive motor) that strives to maintain its starting position. The force the motor uses to resist movement is determined by an equation in our Python code. This equation translates the desired weight into the current supplied to the motor. With this technology, users can work against the motor's resistance, allowing for workouts with weights of up to 100 kg without the need to purchase multiple weights.
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Read more about our hardware here ➡️ Hardware 🔨
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- To ensure our product functions effectively, we have developed Python code with an intuitive user interface that offers a range of features, including easy weight adjustments, workout recording, and access to various workout programs.
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Get access to and learn more about our software here ➡️ Software 💻.
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In the folder called "docs" you will find our final report, Lean Canvas, and more information about our product as a whole.
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Click here to get there ➡️ Docs 📁.
Hugo Persson: hugoper@kth.se
Adam Fabricius-Hansen: adamfh@kth.se
Linnea Edwall: linneaed@kth.se
Caspar Alhadeff: alhadeff@kth.se
Melissa Yasar: melissay@kth.se
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Go to Linus github profile here ➡️ Linus 👤.