Abstract
Nowadays, pervasiveness of advanced technology provides new methods in various fields of trade, industry, medicine, etc. One of those important technologies is biomedical engineering, which uses engineering principles to reduce gap between engineering and medicine, including diagnosis, monitoring and treatment, has become a strong assistant for doctors. Orthopedic Prosthesis and Orthotics is an important field that many researchers are working in, and many hardware and software equipment are developed accordingly. Prosthetics has developed in the recent years to the extent that give their users an ability to replicate the natural human motion on certain limb disorders. These ‘smart’ limbs require the use of multiple technologies and knowledge from a broad field of areas including biomechanics, biomedical, electronics, mechanics, mechatronics and software engineering. For bionic limb applications, multitude of sensors are required to measure and predict the user intent and then a set of mechatronic actuators are utilized to conduct the resulting motion or the gesture. However, for severely injured or disabled patients that can only move their finger or one hand, the use of such control techniques is very limited due to the restricted muscle movement. In this study, a new command and control approach for bionic limbs based on Android application MIT App Inventor 2, which is one of the most ideal platforms to be used for developing handsets and controlling the hand is analyzed. For implementation and demonstration, inertial sensors of mobile phones are used to detect the gesture of the user to control prototype robotic arm prosthesis.
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Imanov, E., Asli, E.F. (2021). A Strategy of Prosthesis Control Using Artificial Intelligence and Execution on Robotic Fingers. In: Aliev, R.A., Yusupbekov, N.R., Kacprzyk, J., Pedrycz, W., Sadikoglu, F.M. (eds) 11th World Conference “Intelligent System for Industrial Automation” (WCIS-2020). WCIS 2020. Advances in Intelligent Systems and Computing, vol 1323. Springer, Cham. https://doi.org/10.1007/978-3-030-68004-6_52
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