Smart Prosthetics: Bridging the Gap between Technology and Human Movement
Author : Sumati Gaur, Dr. Shalini Lamba and Aakanksha Patel
Abstract :
The increasing demand for robotic devices and artificial intelligence (AI) for assisting the elderly and disabled increases as the population ages and the number of individuals with disabilities increases. Gait analysis improves movement by helping prosthesis imitate natural walking patterns. BCIs make it easier for users to operate their prosthetics by enabling them to do so with brain signals. Combining these technologies can result in faster recovery, more natural movement, improved balance, and less mental strain for users. Prosthetics are now better equipped to adapt to various settings and user requirements because to this connection.
This paper evaluates the use of digital twin technology for more personalized prosthetic development and focuses at how these improvements can impact the prosthetics market, ranging from entry-level models to high-tech prostheses. The conclusion emphasizes how these smart prosthetics, through promoting independence and an active lifestyle, can greatly enhance amputees' quality of life.
Keywords :
Robotic devices, artificial intelligence (AI), assistive technology, gait algorithm, brain computer interface (BCI)
