Advancing Prosthetic Arm Technology with Enhanced Aesthetics Integrating EMG Based Signals, 3D Printing and Tactile Sensors

Autor: Rusesh Palthi, Lalith Sree Jayanth Arug, Gopichand Naik Gugulothu, Shashank Kumar Singh, Prashant Pal, Saurabh Bansod, Yogesh Kumar
Rok vydání: 2023
DOI: 10.21203/rs.3.rs-2866997/v1
Popis: Enhancing prosthetic arm technology by integrating electromyography (EMG) signals, 3D printing, and tactile sensors to improve aesthetics, accuracy, and latency. The combination of these technologies has the potential to revolutionize prosthetic arm functionality by providing a more intuitive and responsive experience for users. The EMG-based signals enable high accuracy control over the prosthetic arm, allowing complex movements such as grasping and releasing objects. 3D printing technology allows for customized prosthetic arms that fit the user's unique physical characteristics with low latency, providing better comfort and functionality while allowing for aesthetically pleasing designs. Tactile sensors provide valuable feedback to the user with low latency, improving control and interaction with the surrounding environment. Our research shows that this system is effective in improving prosthetic arm functionality and appearance with high accuracy and low latency. The potential for further development and integration of these technologies to create more aesthetically pleasing prosthetic devices with improved accuracy and low latency is discussed. Integrating EMG-based signals, 3D printing, and tactile sensors with a focus on aesthetics, high accuracy, and low latency holds significant promise for advancing prosthetic arm technology. Future research should focus on enhancing these technologies for real-world applications.
Databáze: OpenAIRE