JOURNAL ARTICLE

A Highly Aligned Nanowire‐Based Strain Sensor for Ultrasensitive Monitoring of Subtle Human Motion

Abstract

Abstract Achieving highly accurate responses to external stimuli during human motion is a considerable challenge for wearable devices. The present study leverages the intrinsically high surface‐to‐volume ratio as well as the mechanical robustness of nanostructures for obtaining highly‐sensitive detection of motion. To do so, highly‐aligned nanowires covering a large area were prepared by capillarity‐based mechanism. The nanowires exhibit a strain sensor with excellent gauge factor (≈35.8), capable of high responses to various subtle external stimuli (≤200 µm deformation). The wearable strain sensor exhibits also a rapid response rate (≈230 ms), mechanical stability (1000 cycles) and reproducibility, low hysteresis (<8.1%), and low power consumption (<35 µW). Moreover, it achieves a gauge factor almost five times that of microwire‐based sensors. The nanowire‐based strain sensor can be used to monitor and discriminate subtle movements of fingers, wrist, and throat swallowing accurately, enabling such movements to be integrated further into a miniaturized analyzer to create a wearable motion monitoring system for mobile healthcare.

Keywords:
Gauge factor Wearable computer Materials science Nanowire Nanotechnology Motion detection Strain gauge Wearable technology Human motion Piezoresistive effect Optoelectronics Biomedical engineering Acoustics Computer science Fabrication Motion (physics) Composite material Embedded system Artificial intelligence Physics

Metrics

114
Cited By
7.61
FWCI (Field Weighted Citation Impact)
49
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Sensor and Energy Harvesting Materials
Physical Sciences →  Engineering →  Biomedical Engineering
Conducting polymers and applications
Physical Sciences →  Materials Science →  Polymers and Plastics
Tactile and Sensory Interactions
Life Sciences →  Neuroscience →  Cognitive Neuroscience

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