Our project is deals with interfacing nerve signals with prosthetic limb. PROS (PHYSICALLY REGULATED OPERATING SUITE) limbs are incredibly valuable to the amputees and it provides them comfort mobility. The surface EMG / myoelectric sensor are used to detect electric impulses from nerve cells and are fed into the nxp kinetic k84f board, which is responsible for amplification and digitizing. Based on the received signal at control board, it will define the degree of displacement to servomotor for controlling the leg position. The excess of weight handling and accidentally hitting are detected through force sensor and vibration sensor which are interfaced with nxp and alert the user by buzzer or alarm. The machine learning of our system are used to produce a navigation pattern for each individual and are monitored and updated continuously by the doctor and prosthetist through cloud computing technology. Also this system helps the amputees at the time of fault occurrence and directly solved by the prosthetist. By this technology, the amputees will attain a secured navigation.
Created June 18, 2016
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