Hand Sign Recognition based on Myographic Methods and Random K-Tournament Grasshopper Extreme Learner
Seiten
2022
Universitätsverlag Chemnitz
978-3-96100-147-7 (ISBN)
Universitätsverlag Chemnitz
978-3-96100-147-7 (ISBN)
Surface electromyography (sEMG), force myography (FMG) and surface electrical impedance myography (sEIM) are investigated for perspective wearable embedded systems. A database has been collected from more than 100 healthy subject performing American sign language (ASL). Classification methods have been proposed based on Extreme Learning Machine (ELM) supported by a grasshopper optimization algorithm (GOA) as a core weight pruning process. To ensure the GOA population diversity a K-tournament selection strategy is included. The K-Tournament Grasshopper Optimization Algorithm (KTGOA) has been improved for discrete optimization problems and implemented to select the ELM weights as a K-Tournament Grasshopper Extreme Learner (KTGEL). To improve the balance of exploration and exploitation, the balancing coefficients of the KTGEL are subjected to uniform randomization. The resulting Random K-Tournament Grasshopper Extreme Learner (RKTGEL) is a novel classifier with a simultaneously automated feature selection. The number of sensors and their positions have been investigated: For FMG, 8 sensors, for sEMG, 2 sensors and for sEIM, 4 equidistant electrodes for measurements in the frequencies from 1 kHz to 4 kHz, are suitable. Combinations of myographic methods reach an accuracy of 100% for small and medium ambiguous datasets. For high ambiguity, a targeted reduction of ambiguity by excluding signs with a high similarity results the RKTGEL to reach an overall accuracy of 97%.
Erscheinungsdatum | 05.01.2023 |
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Reihe/Serie | Scientific Reports on Measurement and Sensor Technology ; 17 |
Zusatzinfo | Illustrationen, Diagramme |
Verlagsort | Chemnitz |
Sprache | englisch |
Maße | 148 x 210 mm |
Gewicht | 333 g |
Themenwelt | Technik ► Elektrotechnik / Energietechnik |
Schlagworte | Hand • Künstliche Intelligenz • Optimierung |
ISBN-10 | 3-96100-147-2 / 3961001472 |
ISBN-13 | 978-3-96100-147-7 / 9783961001477 |
Zustand | Neuware |
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Buch | Hardcover (2023)
Hanser (Verlag)
49,99 €