3D-Printed Hand Controlled by Arm Gestures to Verify the Robustness and Reliability of a Low Cost Surface Electromyography System
The study focuses on the development of a low-cost surface electromyography and 3D-printed hand gesture-recognition system. The complete system captures four (4) channels of EMG data through sEMG amplifier circuits interfaced to an Arduino prototyping board. This data is sent to a workstation wherei...
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Archīum Ateneo
2015
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ph-ateneo-arc.ecce-faculty-pubs-10712020-08-13T06:03:57Z 3D-Printed Hand Controlled by Arm Gestures to Verify the Robustness and Reliability of a Low Cost Surface Electromyography System Manlapaz, Ma. Erika Perrot, Marie Villavicencio, Gabrielle Lao, Bryan Reyes, Rosula SJ The study focuses on the development of a low-cost surface electromyography and 3D-printed hand gesture-recognition system. The complete system captures four (4) channels of EMG data through sEMG amplifier circuits interfaced to an Arduino prototyping board. This data is sent to a workstation wherein the graphical user interface shows the pre-processed signal. The gestures are used as control for the movements of the 3D-printed arm. 2015-01-01T08:00:00Z text application/pdf https://archium.ateneo.edu/ecce-faculty-pubs/72 https://archium.ateneo.edu/cgi/viewcontent.cgi?article=1071&context=ecce-faculty-pubs Electronics, Computer, and Communications Engineering Faculty Publications Archīum Ateneo Electromyography Surface Electromyography Prosthesis Myoelectric Prosthesis Gesture Recognition Thresholding 3D-Printing Electrical and Computer Engineering |
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Electromyography Surface Electromyography Prosthesis Myoelectric Prosthesis Gesture Recognition Thresholding 3D-Printing Electrical and Computer Engineering |
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Electromyography Surface Electromyography Prosthesis Myoelectric Prosthesis Gesture Recognition Thresholding 3D-Printing Electrical and Computer Engineering Manlapaz, Ma. Erika Perrot, Marie Villavicencio, Gabrielle Lao, Bryan Reyes, Rosula SJ 3D-Printed Hand Controlled by Arm Gestures to Verify the Robustness and Reliability of a Low Cost Surface Electromyography System |
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The study focuses on the development of a low-cost surface electromyography and 3D-printed hand gesture-recognition system. The complete system captures four (4) channels of EMG data through sEMG amplifier circuits interfaced to an Arduino prototyping board. This data is sent to a workstation wherein the graphical user interface shows the pre-processed signal. The gestures are used as control for the movements of the 3D-printed arm. |
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text |
author |
Manlapaz, Ma. Erika Perrot, Marie Villavicencio, Gabrielle Lao, Bryan Reyes, Rosula SJ |
author_facet |
Manlapaz, Ma. Erika Perrot, Marie Villavicencio, Gabrielle Lao, Bryan Reyes, Rosula SJ |
author_sort |
Manlapaz, Ma. Erika |
title |
3D-Printed Hand Controlled by Arm Gestures to Verify the Robustness and Reliability of a Low Cost Surface Electromyography System |
title_short |
3D-Printed Hand Controlled by Arm Gestures to Verify the Robustness and Reliability of a Low Cost Surface Electromyography System |
title_full |
3D-Printed Hand Controlled by Arm Gestures to Verify the Robustness and Reliability of a Low Cost Surface Electromyography System |
title_fullStr |
3D-Printed Hand Controlled by Arm Gestures to Verify the Robustness and Reliability of a Low Cost Surface Electromyography System |
title_full_unstemmed |
3D-Printed Hand Controlled by Arm Gestures to Verify the Robustness and Reliability of a Low Cost Surface Electromyography System |
title_sort |
3d-printed hand controlled by arm gestures to verify the robustness and reliability of a low cost surface electromyography system |
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Archīum Ateneo |
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2015 |
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https://archium.ateneo.edu/ecce-faculty-pubs/72 https://archium.ateneo.edu/cgi/viewcontent.cgi?article=1071&context=ecce-faculty-pubs |
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