Abstract
Current research in prosthetic devices emphasizes individual autonomy, primarily through utilizing superficial Electromyography (sEMG) signals. EMG data from amputees is limited and often comes with constraints. To tackle this challenge, a Graphical User Interface (GUI) is proposed to automate capturing and labeling movements, employing clear graphical prompts to inform users about which movement to perform and when. The latency between the visual cue and the user's movement intention was measured in 10 participating volunteers. The obtained times demonstrated that, with continuous interaction, there are promising results of reduced latency lower than 250 ms for automatic labeling of sEMG signals.
| Original language | English |
|---|---|
| Title of host publication | IEEE Andescon, ANDESCON 2024 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350355284 |
| DOIs | |
| State | Published - 2024 |
| Event | 12th IEEE Andescon, ANDESCON 2024 - Cusco, Peru Duration: 11 Sep 2024 → 13 Sep 2024 |
Publication series
| Name | IEEE Andescon, ANDESCON 2024 - Proceedings |
|---|
Conference
| Conference | 12th IEEE Andescon, ANDESCON 2024 |
|---|---|
| Country/Territory | Peru |
| City | Cusco |
| Period | 11/09/24 → 13/09/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Delsys
- GUI
- response time
- sEMG
- upper limb amputation
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