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Vision-based motion estimation methods show promise in accurately and unobtrusively estimating human body motion for healthcare purposes. However, these methods are not specifically designed for healthcare purposes and face challenges in…

Computer Vision and Pattern Recognition · Computer Science 2024-08-20 Chen Long-fei , Subramanian Ramamoorthy , Robert B Fisher

We propose a novel paradigm to vector magnetometry based on machine learning. Unlike conventional schemes where one measured signal explicitly connects to one parameter, here we encode the three-dimensional magnetic-field information in the…

Instrumentation and Detectors · Physics 2023-10-04 Xin Meng , Youwei Zhang , Xichang Zhang , Shenchao Jin , Tingran Wang , Liang Jiang , Liantuan Xiao , Suotang Jia , Yanhong Xiao

We propose a magnetometer for the precise measurement of AC magnetic fields that uses a Terbium-doped optical fiber with half-waveplates built into it at specified distances. Our scheme uses an open-loop quantum control technique called…

Quantum Physics · Physics 2018-07-25 Manish K. Gupta , Jonathan Kunjummen , Xiaoting Wang , Jonathan P. Dowling

The microfabrication of cesium vapor cells for optically pumped magnetometry relies on optimization of buffer gas pressure in order to maximize atomic coherence time and sensitivity to external magnetic signals. We demonstrate post-bond…

Multi-mode optical interferometers represent the most viable platforms for the successful implementation of several quantum information schemes that take advantage of optical processing. Examples range from quantum communication, sensing…

Entanglement generation at a macroscopic scale offers an exciting avenue to develop new quantum technologies and study fundamental physics on a tabletop. Cavity quantum optomechanics provides an ideal platform to generate and exploit such…

Quantum Physics · Physics 2020-06-19 J. Clarke , P. Sahium , K. E. Khosla , I. Pikovski , M. S. Kim , M. R. Vanner

Ultrafast lasers with simultaneously high average and peak power have become indispensable for driving a multitude of applications, including high-harmonic generation, strong-field physics, and particle source applications. Both parametric…

EMG-based gesture recognition shows promise for human-machine interaction. Systems are often afflicted by signal and electrode variability which degrades performance over time. We present an end-to-end system combating this variability…

This paper introduces an Enhanced Boolean version of the Correlation Matrix Memory (CMM), which is useful to work with binary memories. A novel Boolean Orthonormalization Process (BOP) is presented to convert a non-orthonormal Boolean…

Neural and Evolutionary Computing · Computer Science 2016-07-15 Mario Mastriani

Inertial sensors that measure the acceleration of ultracold atoms promise unrivalled accuracy compared to classical equivalents. However, atomic systems are sensitive to various perturbations, including magnetic fields, which can introduce…

Atomic Physics · Physics 2023-12-11 A. Davis , P. J. Hobson , T. X. Smith , C. Morley , H. G. Sewell , J. Cotter , T. M. Fromhold

This article presents several design techniques to fabricate micro-electro-mechanical systems (MEMS) using standard complementary metal-oxide semiconductor (CMOS) processes. They were applied to fabricate high yield CMOS-MEMS shielded…

Instrumentation and Detectors · Physics 2021-09-24 Juan Valle , Josep-María Sánchez-Chiva , Daniel Fernández , Jordi Madrenas

This paper presents a novel method for smaller-sized humanoid robots to self-calibrate their foot force sensors. The method consists of two steps: 1. The robot is commanded to move along planned whole-body trajectories in different double…

Robotics · Computer Science 2022-08-02 Yuanfeng Han , Boren Jiang , Gregory S. Chirikjian

This paper discusses an innovative adaptive heterogeneous fusion algorithm based on estimation of the mean square error of all variables used in real time processing. The algorithm is designed for a fusion between derivative and absolute…

Robotics · Computer Science 2017-01-27 Dusan Nemec , Ales Janota , Marian Hrubos , Vojtech Simak

In order to meet the theoretically achievable imaging performance, calibration of modern radio interferometers is a mandatory challenge, especially at low frequencies. In this perspective, we propose a novel parallel iterative…

Instrumentation and Methods for Astrophysics · Physics 2016-09-09 Martin Brossard , Mohammed Nabil El Korso , Marius Pesavento , Rémy Boyer , Pascal Larzabal , Stefan J. Wijnholds

Future communication systems are faced with increased demand for high capacity, dynamic bandwidth, reliability and heterogeneous traffic. To meet these requirements, networks have become more complex and thus require new design methods and…

Machine Learning · Computer Science 2021-08-16 Dativa K. Tizikara , Jonathan Serugunda , Andrew Katumba

A machine-learning-based framework for constructing generator-level observables optimized for parameter extraction in particle physics analyses is introduced, referred to as the Optimal Observable Machine (OOM). Unfoldable differential…

Accurate and robust heading estimation is crucial for unmanned aerial vehicles (UAVs) when conducting indoor inspection tasks. However, the cluttered nature of indoor environments often introduces severe magnetic disturbances, which can…

Robotics · Computer Science 2025-12-22 Qizhi Guo , Siyuan Yang , Junning Lyu , Jianjun Sun , Defu Lin , Shaoming He

Heading errors of atomic magnetometers refer to the dependence of measurement results on the sensor orientation with respect to the external magnetic field. There are three main sources of such errors: the light shift effect, the linear…

Atomic Physics · Physics 2025-02-20 Siqi Liu , Xueke Wang , Xiangdong Zhang , Wei Xiao , Dong Sheng

To overcome the limitation of existing indoor odometry technologies which often cannot simultaneously meet requirements for accuracy cost-effectiveness, and robustness-this paper proposes a novel magnetometer array-aided inertial odometry…

Robotics · Computer Science 2025-05-21 Jiazhu Li , Jian Kuang , Xiaoji Niu

Molecular communication (MC) has promising potential and a wide range of applications. However, odor-based communication which is common in nature, has not been sufficiently examined within the context of MC, yet. In this paper, we…

Emerging Technologies · Computer Science 2024-11-01 Fatih E. Bilgen , Ahmet B. Kilic , Ozgur B. Akan