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Liqiang Zhang, Yu Liu and Jinglin Sun
Pedestrian navigation systems could serve as a good supplement for other navigation methods or for extending navigation into areas where other navigation systems are invalid. Due to the accumulation of inertial sensing errors, foot-mounted inertial-senso...
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Matthew T. O. Worsey, Hugo G. Espinosa, Jonathan B. Shepherd and David V. Thiel
Machine learning is a powerful tool for data classification and has been used to classify movement data recorded by wearable inertial sensors in general living and sports. Inertial sensors can provide valuable biofeedback in combat sports such as boxing;...
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Jürgen Höher, Isabella Ostner, Anne Schraplau, Nina Sprenger, Ulrike Allers, Helen Sulprizio, Arndt Düsing, Markus Fink, Caroline Schmidt-Lucke and Oliver Tenfelde
This study evaluated the single-leg vertical hop test (SLVHT), using digital sensor technology, for the functional assessment of rehabilitation progress in patients after ACL reconstruction (ACL-R). Between January 2019 and June 2022, 143 patients (26.6 ...
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Yang Chong, Xiangbo Xu, Ningyan Guo, Longkai Shu and Qingyuan Zhang
Cooperative localization (CL) is a popular research topic in the area of localization. Research is becoming more focused on Unmanned Aerial Vehicles (UAVs) and robots and less on pedestrians. This is because UAVs and robots can work in formation, but ped...
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Kyu-Young Kang, Seul-Gi Lee, Hyeon Kang, Jung-Gil Kim, Gye-Rae Tack and Jin-Seung Choi
Inertial sensors are widely used for classifying the motions of daily activities. Although hierarchical classification algorithms were commonly used for defined motions, deep-learning models have been used recently to classify a greater diversity of moti...
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Qianfeng Jing, Haichao Wang, Bin Hu, Xiuwen Liu and Yong Yin
A complete virtual test environment is a powerful tool for Autonomous Surface Vessels (ASVs) research, and the simulation of ship motion and shipborne sensors is one of the prerequisites for constructing such an environment. This paper proposed a univers...
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Stepan Lemak, Viktor Chertopolokhov, Ivan Uvarov, Anna Kruchinina, Margarita Belousova, Leonid Borodkin and Maxim Mironenko
Hand motion tracking plays an important role in virtual reality systems for immersion and interaction purposes. This paper discusses the problem of finger tracking and proposes the application of the extension of the Madgwick filter and a simple switchin...
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Lei Chen, Shurui Fan, Vikram Kumar and Yating Jia
Human activity recognition (HAR) has been increasingly used in medical care, behavior analysis, and entertainment industry to improve the experience of users. Most of the existing works use fixed models to identify various activities. However, they do no...
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Chia-Hsuan Lee, Chi-Han Wu, Bernard C. Jiang and Tien-Lung Sun
The results obtained by medical experts and inertial sensors via clinical tests to determine fall risks are compared. A clinical test is used to perform the whole timed up and go (TUG) test and segment-based TUG (sTUG) tests, considering various cutoff p...
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Shurui Fan, Yating Jia and Congyue Jia
The purpose of activity recognition is to identify activities through a series of observations of the experimenter?s behavior and the environmental conditions. In this study, through feature selection algorithms, we researched the effects of a large numb...
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Vincenzo Bonaiuto, Paolo Boatto, Nunzio Lanotte, Cristian Romagnoli and Giuseppe Annino
The use of a network of wearable sensors placed on the athlete or installed into sport equipment is able to offer, in a real sport environment rather than in the unspecific spaces of a laboratory, a valuable real-time feedback to the coach during practic...
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Eduardo Gallo and Antonio Barrientos
This article proposes a visual inertial navigation algorithm intended to diminish the horizontal position drift experienced by autonomous fixed-wing UAVs (unmanned air vehicles) in the absence of GNSS (Global Navigation Satellite System) signals. In addi...
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Andrea Colagrossi and Michèle Lavagna
Small satellite platforms are experiencing increasing interest from the space community, because of the reduced cost and the performance available with current technologies. In particular, the hardware composing the attitude and orbit control system (AOC...
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Yiqi Wu, Mei Liu, Zhaoyuan Peng, Meiqi Liu, Miao Wang and Yingqi Peng
Cattle behaviour is a significant indicator of cattle welfare. With the advancements in electronic equipment, monitoring and classifying multiple cattle behaviour patterns is becoming increasingly important in precision livestock management. The aim of t...
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Jing Guo, Bo Xiao and Hongliang Ren
Force sensing in robotic-assisted minimally invasive surgery (RMIS) is crucial for performing dedicated surgical procedures, such as bilateral teleoperation and palpation. Due to the bio-compatibility and sterilization requirements, a specially designed ...
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Hans van Haren
A pressure sensor, located for four months in the middle of a 1275 m-long taut deep-ocean mooring in 2380 m water depth above a seamount with sub-surface top-buoys and seafloor anchor-weight, demonstrates narrow-band spectral peaks of deterministic well-...
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Alexis L. McCreath Frangakis, Edward D. Lemaire and Natalie Baddour
The Timed Up and Go test (TUG) and L Test are functional mobility tests that allow healthcare providers to assess a person?s balance and fall risk. Segmenting these mobility tests into their respective subtasks, using sensors, can provide further and mor...
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Adebola Omolaja, Abayomi Otebolaku and Ali Alfoudi
Smart devices, such as smartphones, smartwatches, etc., are examples of promising platforms for automatic recognition of human activities. However, it is difficult to accurately monitor complex human activities on these platforms due to interclass patter...
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Hua Chen, Tarek M. Taha and Vamsy P. Chodavarapu
Autonomous vehicles make use of an Inertial Navigation System (INS) as part of vehicular sensor fusion in many situations including GPS-denied environments such as dense urban places, multi-level parking structures, and areas with thick tree-coverage. Th...
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Daniel Weber, Clemens Gühmann and Thomas Seel
Inertial-sensor-based attitude estimation is a crucial technology in various applications, from human motion tracking to autonomous aerial and ground vehicles. Application scenarios differ in characteristics of the performed motion, presence of disturban...
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