DataVXACS Applied Electronic MaterialsPaper
journal article·2025-05-13

Affordable High-Sensitivity Flexible Strain Sensor Integrated with Machine Learning for Tracking In-Air Handwriting and Leg Motion

Xue Zhou, Yaping Hui, Ning Yang, Weijia Wang, Xuegang Li, Xin Yan, Tonglei Cheng

ACS Applied Electronic Materials· Volume 7· Issue 9
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Source abstract

Abstract

The designed flexible fiber strain sensor is fabricated by infiltrating superconductive carbon black into the SEBS substrate, exhibiting a small volume, high gauge factor (GF), wide strain range, excellent stability, and low cost. At a strain of 550%, GF ≈ 1909.5, while the strain detection range exceeds 620%. After 2000 cycles of tensile and compressive tests, the sensor maintains remarkable stability. In air-handwriting applications, the recognition of four commonly used characters was achieved based on changes in electrical signals. To further enhance the accuracy and efficiency of signal differentiation under large strain conditions, the multifusion machine learning algorithm was integrated into leg posture detection, achieving an accuracy of 0.9854. These results strongly support the advancement of flexible sensors in intelligent control, human–computer interaction, and motion monitoring.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Tactile and Sensory Interactions · Advanced Sensor and Energy Harvesting Materials · Interactive and Immersive Displays

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Synthetical Automation for Process Industries, College of Information Science and Engineering

Northeastern University

Foshan Graduate School of Innovation

National Frontiers Science Center for Industrial Intelligence and Systems Optimization

Funding

Natural Science Foundation of Hebei Province · China Association for Science and Technology · Basic and Applied Basic Research Foundation of Guangdong Province · Natural Science Foundation of Liaoning Province · Fundamental Research Funds for the Central Universities · National Natural Science Foundation of China · Higher Education Discipline Innovation Project

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