Deep Learning-Assisted Organogel Pressure Sensor for Alphabet Recognition and Bio-Mechanical Motion Monitoring

IF 36.3 1区 材料科学 Q1 Engineering
Kusum Sharma, Kousik Bhunia, Subhajit Chatterjee, Muthukumar Perumalsamy, Anandhan Ayyappan Saj, Theophilus Bhatti, Yung-Cheol Byun, Sang-Jae Kim
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引用次数: 0

Abstract

Highlights

  • We rationally designed a robust, biocompatible CoN CNT/PVA/GLE organogel with self-healing, anti-freezing, and self-adhesive properties for wearable sensing applications.

  • Incorporation of CoN CNT enables high-performance, stable pressure sensing for up to one month, with a sensitivity of S = 5.75 kPa-1, r2 = 0.978 in the detection range 0-20 kPa, with robust operation under high humidity and extreme temperatures (−20 to 45 °C).

  • It accurately detects English alphabets, achieving 98% recognition accuracy using deep learning models.

用于字母识别和生物机械运动监测的深度学习辅助有机凝胶压力传感器
我们合理设计了一种具有自愈合、防冻和自粘特性的坚固、生物相容性强的CoN CNT/PVA/GLE有机凝胶,用于可穿戴传感应用。concnt的结合使高性能,稳定的压力传感长达一个月,灵敏度S = 5.75 kPa-1, r2 = 0.978,检测范围0-20 kPa,在高湿度和极端温度(-20至45°C)下具有强大的运行能力。它准确地检测英语字母,使用深度学习模型达到98%的识别准确率。
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来源期刊
Nano-Micro Letters
Nano-Micro Letters NANOSCIENCE & NANOTECHNOLOGY-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
32.60
自引率
4.90%
发文量
981
审稿时长
1.1 months
期刊介绍: Nano-Micro Letters is a peer-reviewed, international, interdisciplinary, and open-access journal published under the SpringerOpen brand. Nano-Micro Letters focuses on the science, experiments, engineering, technologies, and applications of nano- or microscale structures and systems in various fields such as physics, chemistry, biology, material science, and pharmacy.It also explores the expanding interfaces between these fields. Nano-Micro Letters particularly emphasizes the bottom-up approach in the length scale from nano to micro. This approach is crucial for achieving industrial applications in nanotechnology, as it involves the assembly, modification, and control of nanostructures on a microscale.
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