Eyelid Gesture Control Using Wearable Tunnelling Magnetoresistance Sensors

Tanwear, A., Paz, E., Böhnert, T., Ferreira, R. and Heidari, H. (2020) Eyelid Gesture Control Using Wearable Tunnelling Magnetoresistance Sensors. In: 27th IEEE International Conference on Electronics, Circuits and Systems, 23-25 Nov 2020, ISBN 9781728160443 (doi: 10.1109/ICECS49266.2020.9294878)

Abstract

Everyday technologies are more than ever digitized with the internet of thing's systems and disabled individuals may feel excluded. Handsfree gesture approaches such as eye movements/blinking can enhance interacting with modern technology. This work presents eye blinking for eyelid gesture control using a wearable magnetic system consisting of a flexible magnetic strip on the eyelid and spintronic magnetic sensors with its analogue front-end circuit. To detect eye blinking, tunnelling magnetoresistance (TMR) sensors with a sensitivity of 11mV/V/Oe are embedded into an eyeglass frame. For successful detection of the small magnetic field generated by 6 mm diameter with 1 mm thickness magnetic strip on the eyelid, a sensor readout circuit is designed to amplify the collected signal and cancel the external noise and offset. The circuit is capable of filtering low frequencies <0.5 Hz and DC offsets. High frequencies above >28 Hz are filtered for both magnetic field and eyelid movement noise. Each TMR sensor circuit is equipped with a fixed-gain amplifier for detecting low-magnetic field from the mm-sized magnetic strips. The blinks can be repeated within a set time frame and since both eyelids will be detected, multiple command combinations are possible for classification. Based on magnetic field simulation results, the circuit was simulated and has shown high repeatability and stability that can classify eyeblinks based on an amplitude threshold. As a result, the signal can be scaled and classified on a Bluetooth microcontroller capable of connecting to various Bluetooth enabled devices for disabled individuals to communicate with external technology.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Tanwear, Dr Asfand and Heidari, Professor Hadi
• Authors: Tanwear, A., Paz, E., Böhnert, T., Ferreira, R., and Heidari, H.
• College/School: College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• ISBN: 9781728160443
• Copyright Holders: Copyright © 2020 IEEE
• First Published: First published in 2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
• Publisher Policy: Reproduced in accordance with the publisher copyright policy