Self-powered sensing for health monitoring and robotics

Soft Science, Journal Year: 2025, Volume and Issue: 5(1)

Published: Feb. 14, 2025

Self-powered sensing technology plays a key role in autonomous and portable systems, with applications health monitoring robotics. These sensors, which do not rely on external power sources, offer stable, continuous data acquisition for real-time complex interactions. For instance, triboelectric nanogenerators have enabled self-powered wearable sensors to monitor vital signs such as heart beat rate respiration by converting body movement into electrical energy, eliminating the need batteries. Despite their advantages, challenges remain large-scale manufacturing, miniaturization, multifunctional integration. Overcoming these may require innovative advances novel materials, intelligent algorithms, integration strategies. This perspective summarizes recent existing technologies robotics applications, provides an outlook future development.

Language: Английский

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Bio-inspired structures for energy harvesting self-powered sensing and smart monitoring

Mechanical Systems and Signal Processing, Journal Year: 2025, Volume and Issue: 228, P. 112459 - 112459

Published: Feb. 11, 2025

Language: Английский

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Metal–Organic Framework Based Dielectric Layer Toward Highly Improving Triboelectric Charge Generation Properties

Small, Journal Year: 2025, Volume and Issue: 21(11)

Published: Feb. 12, 2025

Abstract Triboelectric nanogenerator (TENG) as an environmental energy recovery and harvesting technology has attracts much attention. However, the improvement of TENG's output performance becomes one core issues. And modification triboelectric materials may be effective approach. Here, two metal–organic framework (MOF) namely TIFSIX‐2‐Cu‐i Cu(Qc) 2 are synthesized, influence different organic ligands on electromechanical conversion TENG is investigated by starting from intrinsic structure MOFs. With polydimethylsiloxane (PDMS)@TIFSIX‐2‐Cu‐I PDMS@Cu(Qc) layer, electrical increases 4.5 times 3 times, respectively. Meanwhile, a double dielectric layer composite proposed to further improve TENG. Accordingly, MOF‐TENG with shows maximum power density 0.12 mW cm −2 , which 6.3 than that original Based designed management circuit, exhibits good supply capability can sustainably small electronics just human mechanical energy. This work proposes new strategy promote development self‐powered or systems.

Language: Английский

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Recent Advances of Auxetic Metamaterials in Smart Materials and Structural Systems

Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 26, 2025

Abstract Auxetic metamaterials refer to materials and structures with extraordinary deformation, i.e., transverse expansion (contraction) under uniaxial tension (compression). In recent decades, a very wide range of innovative functional performance has been discovered stemming from this behavior. This desirable exhibition adaptivity, programmability, functionality provides great potential in soft intelligent systems. However, thus far, the mainstream research on auxetic focused subjective design, monotonic mechanical properties, passive tunability. review thorough overview classical properties applications, primary objective proposing new roadmap auxetics for advances interdisciplinary field. The fundamental works are categorized different configurations mechanisms. particular, integration shape morphing, actuation, sensing, multiphysical response, inverse design is reviewed detail. To accelerate development smart structural systems, applications generalized into robotics (outside body), human–machine interaction (surrounding healthcare devices (inside body). Finally, several significant topics emphasized theory, material choice, manufacturing technique, applications.

Language: Английский

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Five-Cavity Resonance Inspired, rGO Nano-Sheet Reinforced, Multi-Site Voice Synergetic Detection Hydrogel Sensors with Diverse Self-Adhesion and Robust Wireless Transmissibility

Gels, Journal Year: 2025, Volume and Issue: 11(4), P. 233 - 233

Published: March 23, 2025

The practical application of flexible sensors in sound detection is significantly hindered by challenges such as information isolation, fragmentation, and low fidelity. To address these challenges, this work developed a composite hydrogel via one-pot method, employing polyvinyl alcohol (PVA) the first network, polyacrylic acid (PAA) second two-dimensional nanomaterials—reduced graphene oxide (rGO)—generated through redox reaction polydopamine (PDA) (GO) conductive fillers. uniformly distributed rGO within forms an efficient endowing material with high sensitivity (GF = 0.64), excellent conductivity (8.15 S m−1), rapid response time (350 ms), outstanding stability. synergistic interaction between PDA PAA modulates hydrogel’s adhesion (0.89 kPa), enabling conformal attachment to skin surfaces. designed rGO@PVA-PAA hydrogel-based sensor effectively monitors vibrations across diverse frequencies originating from five vocal cavities (head, nasal, oral, laryngeal, thoracic cavities) during singing. Integrated multi-position synchronization Bluetooth wireless sensing technologies, system achieves coordinated monitoring multiple cavities. Furthermore, demonstrates versatility detecting physiological signals, including electrocardiograms, subtle vibrations, multi-scale body movements, highlighting its broad applicability biomedical motion-sensing applications.

Language: Английский

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Hybrid Electromagnetic‐Triboelectric Hip Energy Harvester for Wearables and AI‐Assisted Motion Monitoring

Small, Journal Year: 2025, Volume and Issue: unknown

Published: April 6, 2025

Abstract Reliable human motion monitoring is crucial across various fields such as sports, healthcare, and metaverse. This study introduces an AI‐assisted wearable hip joint energy harvester (HJEH) designed to convert mechanical from movements into electric power for devices while simultaneously motion. The HJEH utilizes electromagnetic generator (EMG) in conjunction with a freestanding triboelectric nanogenerator (FS‐TENG) achieve harvesting sensing. EMG specifically recovers the negative generate electricity, flywheel acceleration gears employ enhance output power. Concurrently, FS‐TENG generates signals driven by motions, which are processed using deep learning algorithms accurate detection. performance of thoroughly evaluated through bench tests, treadmill outdoor experiments. achieves peak 357 mW maximum gravitational density 1.67 W kg −1 during running at speed 8 km h . demonstrates remarkable accuracy 99.95% identifying 12 different types motion, validating efficacy integrated system. In particular, incorporating digital twin technology realizes safety elderly.

Language: Английский

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Deep Learning Assists Triboelectric Sensor for Emotion Classification

ACS Applied Electronic Materials, Journal Year: 2025, Volume and Issue: unknown

Published: April 14, 2025

Language: Английский

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Multifunctional Self-Powered Sensors Integrated on a Robot Hand for Detecting Temperature–Pressure Stimuli and Recognizing Objects

ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 30, 2024

Tactile sensing, especially pressure and temperature recognition, is crucial for both humans robots in identifying objects. The general solutions, which use piezoresistive, capacitive, thermal resistance effects, are usually subject to single-mode sensing an energy supply. Here, we propose a multimode self-powered sensor. sensor can respond stimuli using triboelectric thermoelectric effects. Furthermore, developed system comprising sensors, deep learning block, smart board. model fuse features of signals, enabling high accuracy 99.8% recognizing ten This method may provide the future design sensors object recognition robotics.

Language: Английский

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Advances in carbon nanomaterial-based triboelectric wearable devices for human health monitoring

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 500, P. 157423 - 157423

Published: Nov. 1, 2024

Language: Английский

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Ultra-compact single-electrode triboelectric nanogenerators for self-powered wear sensing of reciprocating sealings

Nano Energy, Journal Year: 2024, Volume and Issue: unknown, P. 110490 - 110490

Published: Nov. 1, 2024

Language: Английский

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