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The rapid growth of the Internet of Things (IoT) and embodied intelligence has increased the demand for sensor nodes that conserve energy and reduce data transmission, especially in resource-limited applications that rely heavily on sensors. Event-based sensors have emerged to meet this demand by reducing data redundancy and lowering power consumption. Within this domain, MEMS (Micro-Electro-Mechanical Systems) inertial switches stand out as promising alternatives to traditional commercial accelerometers and gyroscopes, catering to the widespread need for inertial sensing. This review categorizes the key aspects for optimizing the performance of MEMS inertial switches, with a focus on threshold sensitivity, directional responsiveness, and contact performance. It explores the technological pathways for achieving these objectives and highlights the wide-ranging applications of MEMS inertial switches, especially in scenarios characterized by energy constraints, large-scale deployments, and harsh environments. Additionally, the current challenges faced in the field are analyzed, and future research directions are proposed to enhance the versatility and integration of MEMS inertial switches, thereby promoting their broader adoption and utility.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12339684 | PMC |
http://dx.doi.org/10.1038/s41378-025-00997-1 | DOI Listing |
Micromachines (Basel)
July 2025
Institute of Optics and Electronics, School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing 100191, China.
The random error of fiber optic gyros is a critical factor affecting their measurement accuracy. However, the statistical characteristics of these errors exhibit time-varying properties, which degrade model fidelity and consequently impair the performance of random error suppression algorithms. To address these issues, this study first proposes a recursive dynamic Allan variance calculation method that effectively mitigates the poor real-time performance and spectral leakage inherent in conventional dynamic Allan variance techniques.
View Article and Find Full Text PDFAnimals (Basel)
August 2025
Faculty of Veterinary Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada.
Based on fundamental mechanics, movement and force associate head and pelvic movement asymmetry with asymmetry of force production. We investigate, how often racehorses undergoing strenuous training regimens show evidence of switching between "preferred" limbs, i.e.
View Article and Find Full Text PDFScience
August 2025
Advanced Institute for Materials Research, Tohoku University, Sendai, Japan.
Electric current driving of antiferromagnetic states at radio or higher frequencies remains challenging to achieve. In this study, we report all-electrical, gigahertz-range coherent driving of chiral antiferromagnet manganese-tin (MnSn) nanodot samples. High coherence in multiple trials and threshold current insensitive to pulse width, in contrast to results observed with ferromagnets, were achieved in subnanosecond range, allowing 1000/1000 switching by 0.
View Article and Find Full Text PDFRev Sci Instrum
August 2025
Wyant College of Optical Sciences, University of Arizona, Tucson, Arizona 85721, USA.
Quantum inertial sensors test general relativity, measure fundamental constants, and probe dark matter and dark energy in the laboratory with outstanding accuracy. Their precision relies heavily on carefully choreographed quantum control of the atomic states with a collection of lasers, microwaves, and electric and magnetic fields. Making this technology available outside of the laboratory would unlock many applications, such as geophysics, geodesy, and inertial navigation.
View Article and Find Full Text PDFSensors (Basel)
July 2025
Institute of Automotive Engineering, Jiangsu University, Zhenjiang 212013, China.
Sensor fusion in intelligent suspension systems constitutes a fundamental technology for optimizing vehicle dynamic stability, ride comfort, and occupant safety. By integrating data from multiple sensor modalities, this study proposes a hierarchical multi-sensor fusion framework for active suspension control, aiming to enhance control precision. Initially, a binocular vision system is employed for target detection, enabling the identification of lane curvature initiation points and speed bumps, with real-time distance measurements.
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