Shi, L.; Peng, X.; Zhao, J.; Kuang, Z.; An, T.; Wang, L. Non-Invasive Intraoral Stand-Alone Tongue Control System Based on RSIC-V Edge Computing. Appl. Sci.2023, 13, 9490.
Shi, L.; Peng, X.; Zhao, J.; Kuang, Z.; An, T.; Wang, L. Non-Invasive Intraoral Stand-Alone Tongue Control System Based on RSIC-V Edge Computing. Appl. Sci. 2023, 13, 9490.
Shi, L.; Peng, X.; Zhao, J.; Kuang, Z.; An, T.; Wang, L. Non-Invasive Intraoral Stand-Alone Tongue Control System Based on RSIC-V Edge Computing. Appl. Sci.2023, 13, 9490.
Shi, L.; Peng, X.; Zhao, J.; Kuang, Z.; An, T.; Wang, L. Non-Invasive Intraoral Stand-Alone Tongue Control System Based on RSIC-V Edge Computing. Appl. Sci. 2023, 13, 9490.
Abstract
In order to enable patients with severe disabilities who have lost their limbs to accurately control their wheelchair movement and optimize the power loss of smart wearable tongue control devices, a non-invasive intraoral stand-alone tongue control system based on RSIC-V edge computing is proposed in this paper. Patients can detect the pressure signal of the tongue muscles’ touching the palate by placing the flexible carbon nanotube-PDMS pressure sensor array in the mouth, and the erroneous movement signal can be avoided by setting the pressure threshold, thereby improving the reliability of the device and the user's experience. The system converts the pressure data into specific control instructions on the edge of the RSIC-V chip and transmits them to the receiver, thus reducing the transmission of data. In this experiment, the speed response time test, the center click task and the power consumption experiment are carried out, whose results show that the adaptive fuzzy PID control algorithm has good robustness in the system: when the DC motor with a given speed of 750r/min reaches the steady state, its rise time is 0.108s and the adjustment time is 0.59s. The dynamic power consumption of the non-intrusive intraoral stand-alone tongue control system proposed in this paper is tested to be 3.745 MW, which is 11.5% lower than the total power consumption of the sTDs system.
Keywords
Tongue Control System; RSIC-V; Flexible Carbon Nanotube PDMS; Edge of Computing
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
