This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University LondonWith the ability to feel through artificial limbs, users regain more function and increasingly see the prosthetics as parts of their own bodies. So, main focus of this project was dedicated to recuperating sensation by deception both in sighted and unsighted patients, started with illusionary experiments on healthy volunteers, brain signals were captured with medical EEG headsets during these tests to have a better understanding of how the brain works during body ownership illusions. EEG results suggest that gender difference exists in the perception of body transfer illusion. Visual input can be induced to trick the brain. Using the results, a new device has been designed (sound generator system-SGS) with the principal goal to find ways to include rich sensory feedback in prosthetic devices that would aid their incorporation of the user’s body representation or schema. Studying the brain is fascinating; SGS tested and was found to have an adequate level of dexterity over course of one-month multiple times. After each try, the results were more tolerable than before that proved the idea that brain can learn and understand anything and can be manipulated temporary or lasting due to influences. Different methods used to validate the results, EEG acquisition, mapping subject brain function with EEG and finally interviewing participant after each attempt. Although the results of the illusion shows that when heat applies on rubber hand, subjects behave in similar manner as if their real hand was effected, but main question is still remains. How can the conditioning apply to daily life of amputees so that illusion become permanent? This is a rapidly developing field with advancements in technology and greater interdisciplinary integration of medicine, mechatronics and control engineering with the future looking to have permanent, low power consumption, highly functional devices with a greater intuitive almost natural feel using a variety of body signals including EMG, ultrasound, and Electrocorticography
