Suppr超能文献

基于磁隧道结的无线眼动手势控制自旋电子传感器。

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

出版信息

IEEE Trans Biomed Circuits Syst. 2020 Dec;14(6):1299-1310. doi: 10.1109/TBCAS.2020.3027242. Epub 2020 Dec 31.

Abstract

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 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%.

摘要

使用基于隧道磁电阻(TMR)效应的自旋电子传感器的可穿戴技术来跟踪眼部运动,无疑可以改善行动和身体不便人士的生活质量,从而实现人机接口。我们的设计包括在眼镜架上集成三个 TMR 传感器,用于检测传感器与嵌入在内部制造的隐形眼镜中的微小磁铁之间的相对运动。使用灵敏度为 11 mV/V/Oe 的 TMR 传感器和透镜内的十个小于 1 毫米的嵌入式磁铁,实现了采样频率高达 28 Hz 的眼部运动系统。当参与者使用基于阈值的分类器向上看、向右或向左看时,成功地对三个离散的眼部运动进行了分类。此外,我们的实时交互系统的概念验证在 13 名参与者上进行了测试,他们使用眼部运动玩简化版的俄罗斯方块游戏。我们的结果表明,所有参与者都成功地完成了游戏,平均准确率为 90.8%。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验