Wu, Y;
Jiang, D;
Bayford, R;
Demosthenous, A;
(2018)
Live Demonstration: A Wearable EIT System for Hand Prosthesis Motion Controls.
In:
2018 IEEE International Symposium on Circuits and Systems (ISCAS).
IEEE
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Abstract
A wearable electrical impedance tomography (EIT) system for hand prosthesis motion control is demonstrated. The system captures the user's hand motion by measuring the impedance alterations caused by muscle and bone movement inside the forearm. These impedance data are sent to an artificial neural network for motion classification which is then used to manipulate a hand prosthesis. During the live demonstration, a sensor band is put on a volunteers' forearm for data acquisition. After signal processing, hand gestures learnt by the neural network can be recognized and the same hand motion can be recreated through the hand prosthesis in real-time.
Type: | Proceedings paper |
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Title: | Live Demonstration: A Wearable EIT System for Hand Prosthesis Motion Controls |
Event: | IEEE International Symposium on Circuits and Systems (ISCAS) |
Location: | Florence, ITALY |
Dates: | 27 May 2018 - 30 May 2018 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/ISCAS.2018.8351484 |
Publisher version: | https://ieeexplore.ieee.org/document/8351484 |
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: | Tomography , Prosthetics , Wearable computers , Impedance , Impedance measurement , Electrodes , Motion control |
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.ucl.ac.uk/id/eprint/10066274 |




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