Human Arm Motion Capture using Gyroscopic Sensors

By using the most rudimentary microcontroller chips, that receive data from sensors, and transmit to a computer system, thorough virtual serial port, motion of many objects, bodies joints can be captured. Capturing reproducing it live is not only destination for usage. Recording studying data, reduce lot work in wide range domains. Using simplest methods capture also means making so widely accessible learning, editing developing systems use very little processing power, granting access less efficient computers. We propose MPU-6050 MEMS sensor dual instance, Arduino UNO microcontroller, connected acquisition, human arm, reproduce projected environment. Other experiments, conducted by other researchers developers have used higher number acquisition recording were much more complex, but our research reduced sensors just two. One high impact innovations brought this particular, we’ve virtually hooked end one tip other, creating chain.