Journal Press India^®

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Technological integration in prosthetics is great boon for a person with disabilities Artificial intelligence and Machine learning along with neural network can work simultaneously to provide the best results in for the real like motion and stability of prosthetics with right timing. Neural linkage and interaction with devices and software can be easy for the person and using bionic limbs .Using expertise and required knowledge of different field we can make prosthetics work as the normal limbs using right type of material can give it a feel of real human limbs , Machine learning Algorithms are used for the training purpose of prosthetics before using them practically in real life so they can predict what can be the next movement of the person using previous data that was provided during training and also using machine learning in real time to increase the accuracy along with neural network to let a person control prosthetics with brain only. ANN is used for the connection of prosthetics from human body like a brain and after integration of all the technology that we can use for the proper functioning of prosthetics we can use different types of network and ways for the different part of the body to act accordingly.

Keywords

Artificial Neural Network (ANN); Deep Learning; Myoelectric Control; Electromyography (EMG); Electroencephalogram (EEG)

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