Biopotential based Human-Machine-Interaction

For the prestigious, nation-wide youth science competition “Jugend forscht” in Germany, I designed and built from the ground up a device that was able to record and analyze electrical muscle activity using electromyography. The device can be attached via 3 electrodes (bipolar ablation) to a person’s arm, enabling to write texts or play games on a computer. The design involved designing a signal amplifier, low-pass filter and 3rd order Tschebyscheff low-pass filter. The conversion of the analog signal for the PC was done via an arduino. The analysis of the signal involved basic machine learning to translate muscle activity to control commands. Check official website for more details