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April 22, 2026Advanced Functional Materials5 citations

Flexible Bimodal Sensor With Integrated Tactile and Bioelectrical Signal Perception for Human‐Computer Interaction Systems

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ZWZiqi WangWYWenke YangXWX.X. Wang

Key Points

  • This research aims to develop a flexible bimodal sensor for the synchronized detection of tactile and bioelectrical signals.
  • Architected a flexible sensor combining capacitive pressure sensing with bioelectrical signal detection.
  • Utilized a composite structure of poly(vinylidene fluoride-hexafluoropropylene) and carbon fabric electrodes for effective sensing.
  • Demonstrated real-time control of a robotic hand and encrypted communication using machine learning.
  • Achieved ultrahigh sensitivity of 0.221 kPa −1 and 14.11 MPa −1 across defined pressure ranges.
  • Obtained clear ECG traces with a high signal-to-noise ratio of 21.66 dB and 12.50 dB for different movements.
  • Showcased effective real-time dexterous control of a robotic hand using the integrated sensor.

Abstract

ABSTRACT The advancement of intelligent human‐computer interaction systems urgently requires sensing technologies that can seamlessly integrate with the human body and decode multidimensional physiological and physical information. Herein, a novel flexible bimodal sensor is architected for the synchronous perception of tactile pressure and bioelectrical signals. The core of the tactile sensing unit is a capacitive pressure sensor, which synergistically integrates a cold‐pressing microstructured poly(vinylidene fluoride‐hexafluoropropylene) P(VDF‐HFP) dielectric layer with compressible carbon fabric (CF) electrodes. This composite structure achieves exceptional compressibility and controlled micro‐gaps, enabling an ultrahigh and broad‐range sensitivity of 0.221 kPa −1 (0–8 kPa) and 14.11 MPa −1 (65–240 kPa). Impressively, the CF electrode also establishes low‐impedance epidermal coupling, which is critical for high‐fidelity bioelectrical sensing. This capability is confirmed through clear electrocardiogram (ECG) traces with distinct PQRST peaks and a high signal‐to‐noise ratio (SNR) of 21.66 dB (curling) and 12.50 dB (gripping), which are comparable to those obtained with a commercial bioelectrode. The practical utility of the integrated system is further demonstrated through real‐time dexterous control of a robotic hand and the machine learning‐assisted transmission and decryption of a doubly‐encrypted Morse code communication system. This work establishes a new design paradigm for multifunctional sensing interfaces toward next‐generation intelligent systems.

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Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/69e867356e0dea528ddeb853https://doi.org/10.1002/adfm.75491
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