Yao, Tianyang;
Almarri, Noora;
Wu, Yu;
Jiang, Dai;
Bayford, Richard;
Demosthenous, Andreas;
(2023)
Live Demonstration: A Bioimpedance-Based Robotic Hand Control Platform Using a Customised Neural Network.
In:
Proceedings of the 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS).
IEEE: Toronto, ON, Canada.
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Abstract
This work presents a high-accuracy hand gesture recognition platform for robotic hand control. The platform consists of a flexible 8-electrode band, a high-performance electrical impedance tomography (EIT) system, a compact customised neural network deployed on a laptop and a robotic hand. The EIT system captures the bioimpedance features from muscle contraction and bone movement in the upper arm. After training, the customised neural network can predict hand gestures using bioimpedance features. The visitor will experience smooth control of a robotic hand by performing desired gestures using this demo platform.
| Type: | Proceedings paper |
|---|---|
| Title: | Live Demonstration: A Bioimpedance-Based Robotic Hand Control Platform Using a Customised Neural Network |
| Event: | 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS) |
| Dates: | 19 Oct 2023 - 21 Oct 2023 |
| ISBN-13: | 9798350300260 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/BioCAS58349.2023.10389001 |
| Publisher version: | https://doi.org/10.1109/BioCAS58349.2023.10389001 |
| Language: | English |
| Additional information: | This version is the author-accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Training, Electrical impedance tomography, Portable computers, Circuits and systems, Neural networks, Bioimpedance, Gesture recognition |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10188443 |
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