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 mm3 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%.

中文翻译：

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基于磁隧道结的自旋电子传感器用于无线眼动手势控制

通过在人机界面中使用基于隧道磁阻 (TMR) 效应的自旋电子传感器，使用可穿戴技术跟踪眼睛手势运动无疑可以提高行动不便和身体有缺陷的人的生活质量。我们的设计涉及在眼镜架上集成三个 TMR 传感器，用于检测传感器与嵌入内部制造的隐形眼镜中的微型磁铁之间的相对运动。使用灵敏度为 11 mV/V/Oe 的 TMR 传感器和 10 个 <1 mm3 嵌入透镜内的磁铁，以高达 28 Hz 的采样频率实现了眼睛手势系统。当参与者使用基于阈值的分类器向上、向右或向左看时，三个离散的眼球运动被成功分类。此外，我们的概念验证实时交互系统在 13 名参与者身上进行了测试，他们使用眼球运动玩了一个简化的俄罗斯方块游戏。我们的结果表明，所有参与者都成功完成了游戏，平均准确率为 90.8%。