Spintronic Sensors Based on Magnetic Tunnel Junctions for Wireless Eye Movement Gesture Control

被引:19
|
作者
Tanwear, Asfand [1 ]
Liang, Xiangpeng [1 ]
Liu, Yuchi [1 ]
Vuckovic, Aleksandra [1 ]
Ghannam, Rami [1 ]
Bohnert, Tim [2 ]
Paz, Elvira [2 ]
Freitas, Paulo P. [2 ]
Ferreira, Ricardo [2 ]
Heidari, Hadi [1 ]
机构
[1] Univ Glasgow, James Watt Sch Engn, Glasgow G12 8QQ, Lanark, Scotland
[2] Int Iberian Nanotechnol Lab INL, P-4715330 Braga, Portugal
基金
英国工程与自然科学研究理事会;
关键词
Magnetic sensors; Tunneling magnetoresistance; Lenses; Magnetic tunneling; Magnetic recording; Cameras; Eye movement control; human-machine interaction; spintronics; tunnelling magnetoresistance sensor; WINK DETECTION; LINE WANDER; BLINK; GAZE; INTERFACE; REMOVAL; SIGNALS; CAMERA;
D O I
10.1109/TBCAS.2020.3027242
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The tracking of eye gesture movements using wearable technologies can undoubtedly improve quality of life for people with mobility and physical impairments by using spintronic sensors based on the tunnel magnetoresistance (TMR) effect in a human-machine interface. Our design involves integrating three TMR sensors on an eyeglass frame for detecting relative movement between the sensor and tiny magnets embedded in an in-house fabricated contact lens. Using TMR sensors with the sensitivity of 11 mV/V/Oe and ten <1 mm(3) embedded magnets within a lens, an eye gesture system was implemented with a sampling frequency of up to 28 Hz. Three discrete eye movements were successfully classified when a participant looked up, right or left using a threshold-based classifier. Moreover, our proof-of-concept real-time interaction system was tested on 13 participants, who played a simplified Tetris game using their eye movements. Our results show that all participants were successful in completing the game with an average accuracy of 90.8%.
引用
收藏
页码:1299 / 1310
页数:12
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