Version 1
: Received: 11 November 2021 / Approved: 12 November 2021 / Online: 12 November 2021 (15:15:25 CET)
Version 2
: Received: 31 July 2023 / Approved: 31 July 2023 / Online: 2 August 2023 (13:12:49 CEST)
R. Yan et al., "A Wireless Animal Robot Stimulation System based on Neuronal Electrical Signal Characteristics," 2023 IEEE 3rd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA), Chongqing, China, 2023, pp. 244-249, doi: 10.1109/ICIBA56860.2023.10165305.
R. Yan et al., "A Wireless Animal Robot Stimulation System based on Neuronal Electrical Signal Characteristics," 2023 IEEE 3rd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA), Chongqing, China, 2023, pp. 244-249, doi: 10.1109/ICIBA56860.2023.10165305.
R. Yan et al., "A Wireless Animal Robot Stimulation System based on Neuronal Electrical Signal Characteristics," 2023 IEEE 3rd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA), Chongqing, China, 2023, pp. 244-249, doi: 10.1109/ICIBA56860.2023.10165305.
R. Yan et al., "A Wireless Animal Robot Stimulation System based on Neuronal Electrical Signal Characteristics," 2023 IEEE 3rd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA), Chongqing, China, 2023, pp. 244-249, doi: 10.1109/ICIBA56860.2023.10165305.
Abstract
As a stimulus signal, coded electrical signals can control the motion behavior of animals, which has been widely used in the field of animal robots. In current research, most of the stimulus signals used by researchers are traditional waveforms, such as square waves. To enrich the stimulus waveform, a wireless animal robot stimulation system based on neuronal electrical signal characteristics is presented in this paper. The stimulator uses the CC1101 wireless module to control animal behavior through brain stimulation. The LabVIEW-based graphical user interface(GUI) can manipulate brain stimulation remotely while the stimulator powered by battery. Additionally, The spikes of animals have been simulated by this system through Direct Digital Synthesizer(DDS) algorithm. The GUI enable users to customize the combination of these analog spike signals. The recombined signals are sent to the stimulator through CC1101 as stimulus signals. In vivo experiments conducted on five pigeons verified the efficacy of the stimulation mechanism. The analog spike signal with an amplitude of 3-5V successfully caused the pigeon’s turning behavior. The feasibility of the analog spike signals as stimulus signals was successfully verifified. Increased the diversity of stimulus waveforms in the field of animal robots.
Keywords
animal robots; neuronal electrical signal; electrical stimulation; Direct Digital Synthesis algorithm
Subject
Biology and Life Sciences, Neuroscience and Neurology
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.
