Fuzzy logic based classification for multifunctional upper limb prostheses
| Autor: | Mehmet Serdar Celik, Ilyas Eminoglu |
|---|---|
| Přispěvatelé: | Ondokuz Mayıs Üniversitesi |
| Rok vydání: | 2016 |
| Předmět: |
Engineering
medicine.diagnostic_test Heuristic (computer science) business.industry Pattern recognition Electromyography Fuzzy logic body regions medicine.anatomical_structure classification Forearm medicine Performance surface multifunctional upper limb Upper limb fuzzy logic Artificial intelligence prosthesis surface EMG MATLAB business computer computer.programming_language |
| Zdroj: | 2016 Medical Technologies National Congress (TIPTEKNO). |
| ISSN: | 0004-5500 |
| DOI: | 10.1109/tiptekno.2016.7863125 |
| Popis: | Medical Technologies National Conference (TIPTEKNO) -- OCT 27-29, 2016 -- Antalya, TURKEY WOS: 000455003600064 This paper investigate a fuzzy logic based high performance surface EMG classification algorithm for multifunctional upper limb prostheses. In this paper, we record 4 channels EMG data with surface electrodes from the forearm and aimed to recognize 8 different upper limb movements using heuristic fuzzy logic methods from these data. We use 50 surface EMG data for every function and evaluate the performance of this method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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