In this study, a soft sensor-based three-dimensional (3-D) finger motion measurement system is proposed. The sensors, made of the soft material Ecoflex, comprise embedded microchannels filled with a conductive liquid metal (EGaln). The superior elasticity, light weight, and sensitivity of soft sensors allows them to be embedded in environments in which conventional sensors cannot. Complicated finger joints, such as the carpometacarpal (CMC) joint of the thumb are modeled to specify the location of the sensors. Algorithms to decouple the signals from soft sensors are proposed to extract the pure flexion, extension, abduction, and adduction joint angles. The performance of the proposed system and algorithms are verified by comparison with a camera-based motion capture system.
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http://dx.doi.org/10.3390/s17020420 | DOI Listing |
J Colloid Interface Sci
January 2025
Key Laboratory for Soft Chemistry and Functional Materials of Ministry of Education, Nanjing University of Science and Technology, Nanjing 210094 China. Electronic address:
Conductive hydrogel strain sensors demonstrate extensive potential in artificial robotics, human-computer interaction, and health monitoring, owing to their excellent flexibility and biocompatibility. Wearable strain sensors for real-time monitoring of human activities require hydrogels with self-adhesion, desirable sensitivity, and wide working range. However, balancing the high sensitivity and a wide working range remains a challenge.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an 710054, China.
Soft and stretchable strain sensors are crucial for applications in human-machine interfaces, flexible robotics, and electronic skin. Among these, capacitive strain sensors are widely used and studied; however, they face challenges due to material and structural constraints, such as low baseline capacitance and susceptibility to external interference, which result in low signal-to-noise ratios and poor stability. To address these issues, we propose a U-shaped electrode flexible strain sensor based on liquid metal elastomer (LME).
View Article and Find Full Text PDFSci Rep
January 2025
Functional Nanomaterials, Department of Materials Science, Kiel University, Kaiserstr. 2, 24143, Kiel, Germany.
The pursuit for advanced magnetoelectric field sensors has gained momentum, driven by applications in various fields, ranging from biomedical applications to soft robotics and the automotive sector. In this context, a capacitive read-out based magnetostrictive polymer composite (MPC) sensor element is introduced, offering a new perspective on magnetic field detection. The sensor element's unique feature is the possibility to independently tailor its mechanical and magnetic properties.
View Article and Find Full Text PDFLangmuir
January 2025
Materials Science and Technology Division, CSIR─National Institute for Interdisciplinary Science and Technology, Pappanamcode, Thiruvananthapuram 695019, Kerala, India.
Mercury contamination of the environment is extremely hazardous to human health because of its significant toxicity, especially in water. Biomass-derived fluorophores such as carbon dots (CDs) have emerged as eco-friendly and cost-effective alternative sensors that provide comparable efficacy while mitigating the environmental and economic drawbacks of conventional methods. In this work, we report the fabrication of a selective fluorescence-enhancing sensor based on sulfur-doped carbon dots (SCDs) using waste bamboo-derived cellulose and sodium thiosulfate as the soft base dopant, which actively complexes with mercury ions for detection.
View Article and Find Full Text PDFWater Res X
December 2024
Key Laboratory of Autonomous Systems and Networked Control, Ministry of Education, School of Automation Science &Engineering, South China University of Technology, Guangzhou, 510640, China.
Real-time monitoring of key quality variables is essential and crucial for stable and safe operations of wastewater treatment plants (WWTPs). Next generation reservoir computing (NG-RC) has recently garnered significant attention in quality prediction, such as COD and BOD, as an effective alternative to traditional reservoir computing (RC), then is able to act as a data-driven soft sensor to twin a hardware sensor for quality variable measurements. Unlike RC, NG-RC does not require random sampling matrices to define the weights of recurrent neural networks and has fewer hyperparameters.
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