A person using a modern prosthetic arm cannot feel what their artificial hand is touching—they must watch it constantly to know if their fingers are open or if they are crushing an egg. This project aims to build fingertip sensors that detect pressure, shear, and temperature, then convert those signals into the electrical language of human nerves and deliver them directly to the user’s nervous system. Without sensory feedback, even the most advanced prosthetic arms remain slow and awkward to use. Users cannot pick up a glass while holding a conversation, because they must look at the hand to know its position. The team will also develop a “virtual hand” that generates the nerve impulses a real hand would produce, giving the user a sense of where the artificial limb is in space. If successful, this work would allow someone to shake hands without crushing fingers, or pick an apple without bruising it, and could cut the learning time for a new device from weeks to days. The impact is immediate and practical: more natural control for people who rely on prosthetic arms every day.
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An artificial arm, or prosthesis, is an example of technology that can be used to help somebody perform essential activities of daily living after a serious injury that results in the loss of their arm. Such activities might include eating, washing, opening doors, or shaking hands with a friend. Many artificial arms on the market these days are highly sophisticated, offering individual finger movement, and even movement of segments within a finger, that resemble the natural arm and hand. These prosthetic arms are often controlled by sensing the contractions in the muscles of the remaining arm to which the prosthesis is attached, allowing the user to operate the arm by flexing their muscles. However, one key aspect of artificial arms that is currently missing is the sense of feedback. In other words, the user does not know where the arm is or how wide open the hand is without looking at it, and if a delicate object is picked up, there is no sense of how hard it is being gripped. This leads to slow and awkward use of the artificial arm and prevents its use from becoming truly natural. The goal of this project is to develop technologies that will enable the next generation of assistive devices to provide truly natural control through enhanced sensory feedback. Our long-term vision is for artificial arms that provide the user with a sense of feedback that recreates the natural feedback associated with a real arm. To enable this level of feedback, we must meet two clear objectives: to generate artificial signals that mimic those of the natural arm and hand, and to provide a means of delivering those signals to the nervous system of a prosthesis user. These objectives will be achieved by: building new fingertip sensors to give the prosthesis a realistic sense of touch, including pressure, shear and temperature; developing a 'virtual hand' that mimics the nerve impulses that would be produced by a real hand, giving the user a sense of position of an artificial hand; and designing electrodes and a stimulation system that can deliver the simulated nerve impulses directly to the individual's nervous system. Building this level of feedback into prosthetic devices will enable much higher levels of function to be achieved than is currently possible. Device users would be able to naturally reach out and pick up a glass, for example, whilst maintaining eye contact in a conversation, or pick up an apple without bruising it. This will advance the field of prosthetics, provide enhanced function to prosthesis users and decrease the learning time involved when acquiring a new device.
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