Flexible Capacitive Pressure Sensors With Conical-Protrusion Porous Microstructure for Human Health Monitoring
Flexible capacitive pressure sensors exhibit significant potential for applications in wearable health monitoring, soft robotics, and human-computer interaction. However, achieving both high sensitivity and a wide response range simultaneously remains challenging. To address this, we designed a sensor incorporating a conical-protrusion porous microstructure inspired by the porous architecture of sponges. This structure enables a piecewise linear response across three distinct deformation stages: compression of the conical protrusions at low pressures, deformation of the porous framework at intermediate pressures, and bulk material densification at high pressures. This multi-stage mechanism effectively reconciles the sensitivity-range trade-off, yielding a sensor with high sensitivity (2.996 kPa⁻¹), a broad operational range (0–500 kPa), fast response time (98 ms), and durability exceeding 8,000 cycles under 300 kPa loading. Through demonstrations in human health monitoring and human-machine interaction, we highlight the sensor’s applicability to next-generation intelligent sensing systems. This work introduces a novel structural strategy for high-performance flexible capacitive pressure sensors, offering a pathway to balance sensitivity and dynamic range in flexible capacitive pressure sensors.
Authors
- Honglin Wu (ORCID: https://orcid.org/0000-0002-9877-5845)
- Hui Tao (ORCID: https://orcid.org/0000-0002-3404-3418)
- Zhi‐Jun Zhao (ORCID: https://orcid.org/0000-0002-4981-5062)
- Bingjun Yu (ORCID: https://orcid.org/0000-0002-8281-1899)
- Hongbo Wang (ORCID: https://orcid.org/0000-0002-8031-5533)
- Mingyu Li (ORCID: https://orcid.org/0000-0002-9235-947X)
Institutions
- Southwest Jiaotong University (CN)
Publication Details
- Journal
- IEEE Sensors Journal
- Published
- 2025-09-25
- DOI
- https://doi.org/10.1109/jsen.2025.3611395
- Citations
- 1
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 0.67