A comparative evaluation of time-delay, deep learning and echo state neural networks when used as simulated transhumeral prosthesis controllers

Day, Charles R.Chadwick, Edward K.Blana, Dimitra2022-09-272022-09-272020-09-28Day, C R, Chadwick, E K & Blana, D 2020, A comparative evaluation of time-delay, deep learning and echo state neural networks when used as simulated transhumeral prosthesis controllers. in 2020 International Joint Conference on Neural Networks : IJCNN 2020 - Proceedings., 9206772, Proceedings of the International Joint Conference on Neural Networks, Institute of Electrical and Electronics Engineers Inc., 2020 International Joint Conference on Neural Networks, IJCNN 2020, Virtual, Glasgow, United Kingdom, 19/07/20. https://doi.org/10.1109/IJCNN48605.2020.9206772conference97817281692622161-4393ORCID: /0000-0003-0877-5110/work/83311021ORCID: /0000-0003-0488-6120/work/83311028https://hdl.handle.net/2164/19236ACKNOWLEDGMENT The authors are grateful to ten anonymous, able-bodied, human participants who participated in the recording of all of the datasets used to train and test the above neural networks.7823824engEcho State NetworksLong Short-Term MemoryTime-Delay Neural Networkstime-series processingtranshumeral prosthesis controlQA75 Electronic computers. Computer scienceSoftwareArtificial IntelligenceQA75A comparative evaluation of time-delay, deep learning and echo state neural networks when used as simulated transhumeral prosthesis controllersConference item10.1109/IJCNN48605.2020.9206772http://www.scopus.com/inward/record.url?scp=85093852158&partnerID=8YFLogxK