Multi-effect synergistic flexible piezoelectric sensor for non-verbal communication of individuals with aphonia

Flexible piezoelectric sensors support wearable human-computer interaction and non-verbal assistive communication for individuals with aphonia, yet simultaneously achieving high sensitivity, fast response, reliable stability, and accurate weak-signal detection remains challenging. Here, we report a multi-effect synergistic flexible piezoelectric sensor with optimized overall sensing performance. Integrating multiple physical effects for efficient force-to-electrical conversion, it delivers 554.20 kPa −1 sensitivity in the 0–10 kPa range, with 26 ms response and 37 ms recovery time. No signal attenuation or baseline drift is observed after 1,800-s cyclic testing, demonstrating potential for long-term operational stability. It detects ultra-low pressure down to 51 Pa and captures subtle physiological signals. Combined with decision tree and XGBoost algorithms, the system achieves 96.20% ± 2.32% recognition accuracy for digits 1–10 via 5-fold cross-validation. This work provides reliable technical support for non-verbal interactive devices and valuable design references for high-performance wearable sensing systems.

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Publication Details

Journal
Cell Reports Physical Science
Published
2026-09-16
DOI
https://doi.org/10.1016/j.xcrp.2026.103556
Primary Topic
Ear Surgery and Otitis Media
Type
article
Field-Weighted Citation Impact
0.00

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article

Multi-effect synergistic flexible piezoelectric sensor for non-verbal communication of individuals with aphonia

Hui Kong, Yun‐Ze Long, Zhaoyang Feng, Lianqun Zhou et al.
Cell Reports Physical Science
Ear Surgery and Otitis Media
article

Multi-effect synergistic flexible piezoelectric sensor for non-verbal communication of individuals with aphonia

Hui Kong, Yun‐Ze Long, Zhaoyang Feng, Lianqun Zhou, Jinlong Li, Xingguang Chen, Guanghao Huang
article en

Abstract

Flexible piezoelectric sensors support wearable human-computer interaction and non-verbal assistive communication for individuals with aphonia, yet simultaneously achieving high sensitivity, fast response, reliable stability, and accurate weak-signal detection remains challenging. Here, we report a multi-effect synergistic flexible piezoelectric sensor with optimized overall sensing performance. Integrating multiple physical effects for efficient force-to-electrical conversion, it delivers 554.20 kPa −1 sensitivity in the 0–10 kPa range, with 26 ms response and 37 ms recovery time. No signal attenuation or baseline drift is observed after 1,800-s cyclic testing, demonstrating potential for long-term operational stability. It detects ultra-low pressure down to 51 Pa and captures subtle physiological signals. Combined with decision tree and XGBoost algorithms, the system achieves 96.20% ± 2.32% recognition accuracy for digits 1–10 via 5-fold cross-validation. This work provides reliable technical support for non-verbal interactive devices and valuable design references for high-performance wearable sensing systems.

Cell Reports Physical ScienceVol. 7(10)
Qingdao University (CN), Suzhou Institute of Biomedical Engineering and Technology (CN)
Natural Science Foundation of Shandong Province
Openalex Percentile: Top 9%
Ear Surgery and Otitis Media
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Multi-effect synergistic flexible piezoelectric sensor for non-verbal communication of individuals with aphonia — Hui Kong, Yun‐Ze Long, et al. · Cell Reports Physical Science (2026) | TGRS Research Map | TGRS