Using Image Processing Techniques and HD-EMG for Upper Limb Prosthesis Gesture Recognition
| Autor: | Roberto Díaz-Amador, Carlos A. Ferrer-Riesgo, Juan V. Lorenzo-Ginori |
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| Rok vydání: | 2019 |
| Předmět: |
030506 rehabilitation
Pixel Channel (digital image) InformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g. HCI) Computer science business.industry Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Sample (graphics) Image (mathematics) 03 medical and health sciences 0302 clinical medicine Gesture recognition Computer vision Artificial intelligence 0305 other medical science business 030217 neurology & neurosurgery Gesture |
| Zdroj: | Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030134686 CIARP |
| DOI: | 10.1007/978-3-030-13469-3_105 |
| Popis: | In this paper we present the results of using image processing techniques for gesture recognition based on High-Density Electromyography (HD-EMG). Here the instantaneous sample of each EMG channel is represented as a pixel of an image that changes with different movements. In this image, various patterns are recognizable as associated to specific gestures. Experiments were performed to compare the use of image feature extraction by dividing the image into patches (blocks). In this case, the effectiveness for gesture recognition of three different patch sizes and locations were tested and compared. The results show the feasibility of using image processing concepts in order to obtain appropriate features for gesture recognition from HD-EMG, in some cases with advantage when compared to conventional methods. |
| Databáze: | OpenAIRE |
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