Sensors, Vol. 24, Pages 2463: A Comprehensive Exploration of Fidelity Quantification in Computer-Generated Images
This study, exploring image fidelity in both virtual and real conditions, takes the perspective of an embedded camera rather than the human eye. The results of this work, including a pioneering set of objective scores applied to real, virtual, and improved virtual data, offer crucial insights and are an asset for the scientific community in quantifying fidelity levels. (Source: Sensors)
Source: Sensors - April 11, 2024 Category: Biotechnology Authors: Alexandra Duminil Sio-Song Ieng Dominique Gruyer Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2461: Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review
In this study, we present a comprehensive and systematic review of RL algorithms and applications. This review commences with an exploration of the foundations of RL and proceeds to examine each algorithm in detail, concluding with a comparative analysis of RL algorithms based on several criteria. This review then extends to two key applications of RL: robotics and healthcare. In robotics manipulation, RL enhances precision and adaptability in tasks such as object grasping and autonomous learning. In healthcare, this review turns its focus to the realm of cell growth problems, clarifying how RL has provided a data-driven a...
Source: Sensors - April 11, 2024 Category: Biotechnology Authors: Al-Hamadani Fadhel Alzubaidi Balazs Tags: Review Source Type: research
Sensors, Vol. 24, Pages 2464: Enhancing Aboveground Biomass Prediction through Integration of the SCDR Paradigm into the U-Like Hierarchical Residual Fusion Model
This study not only introduces a novel approach but also provides compelling empirical evidence supporting the digitization and precision improvement of agricultural technology. The research outcomes align closely with the identified problem and research statement, underscoring the significance of the proposed methodologies in advancing the field of biomass prediction through state-of-the-art deep learning techniques. (Source: Sensors)
Source: Sensors - April 11, 2024 Category: Biotechnology Authors: Ruofan Zhang Jialiang Peng Hailin Chen Hao Peng Yi Wang Ping Jiang Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2465: The Effects of Supraharmonic Distortion in MV and LV AC Grids
tti
Since the integration of electronic devices and intelligent electronic devices into the power grid, power quality (PQ) has consistently remained a significant concern for system operators and experts. Maintaining high standards of power quality is crucial to preventing malfunctions and faults in electric assets and connected loads. Recently, PQ studies have shifted their focus to a specific frequency range, previously not considered problematic—the supraharmonic 2 kHz to 150 kHz range. This range is not populated by easily recognizable harmonic components of the 50 Hz to 60 Hz mains fundamental, but b...
Source: Sensors - April 11, 2024 Category: Biotechnology Authors: Andrea Mariscotti Alessandro Mingotti Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2466: FERFusion: A Fast and Efficient Recursive Neural Network for Infrared and Visible Image Fusion
eng Liu
The rapid development of deep neural networks has attracted significant attention in the infrared and visible image fusion field. However, most existing fusion models have many parameters and consume high computational and spatial resources. This paper proposes a fast and efficient recursive fusion neural network model to solve this complex problem that few people have touched. Specifically, we designed an attention module combining a traditional fusion knowledge prior with channel attention to extract modal-specific features efficiently. We used a shared attention layer to perform the early fusion of modal-sha...
Source: Sensors - April 11, 2024 Category: Biotechnology Authors: Kaixuan Yang Wei Xiang Zhenshuai Chen Yunpeng Liu Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2467: Development of Multimodal Fusion Technology for Tomato Maturity Assessment
ng
Xiaohuan Guo
The maturity of fruits and vegetables such as tomatoes significantly impacts indicators of their quality, such as taste, nutritional value, and shelf life, making maturity determination vital in agricultural production and the food processing industry. Tomatoes mature from the inside out, leading to an uneven ripening process inside and outside, and these situations make it very challenging to judge their maturity with the help of a single modality. In this paper, we propose a deep learning-assisted multimodal data fusion technique combining color imaging, spectroscopy, and haptic sensing for the matu...
Source: Sensors - April 11, 2024 Category: Biotechnology Authors: Yang Liu Chaojie Wei Seung-Chul Yoon Xinzhi Ni Wei Wang Yizhe Liu Daren Wang Xiaorong Wang Xiaohuan Guo Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2437: Wearable Biosensor Technology in Education: A Systematic Review
írez-Moreno
Jorge de J. Lozoya-Santos
Wearable Biosensor Technology (WBT) has emerged as a transformative tool in the educational system over the past decade. This systematic review encompasses a comprehensive analysis of WBT utilization in educational settings over a 10-year span (2012–2022), highlighting the evolution of this field to address challenges in education by integrating technology to solve specific educational challenges, such as enhancing student engagement, monitoring stress and cognitive load, improving learning experiences, and providing real-time feedback for both students and educato...
Source: Sensors - April 11, 2024 Category: Biotechnology Authors: Mar ía A. Hernández-Mustieles Yoshua E. Lima-Carmona Maxine A. Pacheco-Ram írez Axel A. Mendoza-Armenta Jos é Esteban Romero-Gómez C ésar F. Cruz-Gómez Diana C. Rodr íguez-Alvarado Alejandro Arceo Jes ús G. Cruz-Garza Mauricio A. Ram írez-Moreno Tags: Review Source Type: research
Sensors, Vol. 24, Pages 2436: Advancing ADAS Perception: A Sensor-Parameterized Implementation of the GM-PHD Filter
ger
Modern vehicles equipped with Advanced Driver Assistance Systems (ADAS) rely heavily on sensor fusion to achieve a comprehensive understanding of their surrounding environment. Traditionally, the Kalman Filter (KF) has been a popular choice for this purpose, necessitating complex data association and track management to ensure accurate results. To address errors introduced by these processes, the application of the Gaussian Mixture Probability Hypothesis Density (GM-PHD) filter is a good choice. This alternative filter implicitly handles the association and appearance/disappearance of tracks. The approach presented...
Source: Sensors - April 11, 2024 Category: Biotechnology Authors: Christian Bader Volker Schwieger Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2438: The Effects of Hand Tremors on the Shooting Performance of Air Pistol Shooters with Different Skill Levels
In this study, we aim to explore the relationship between hand tremors and shooting performance scores as well as investigate potential links between muscle activation and hand tremors. In this study, 17 male air pistol shooters from China’s national team and the Air Pistol Sports Center were divided into two groups: the elite group and the sub-elite group. Each participant completed 40 shots during the experiment, with shooters’ hand tremors recorded using three-axis digital accelerometers affixed to their right hands. Muscle activation was recorded using surface electromyography on the right a...
Source: Sensors - April 11, 2024 Category: Biotechnology Authors: Yu Liu Nijia Hu Mengzi Sun Feng Qu Xinglong Zhou Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2439: A Method to Track 3D Knee Kinematics by Multi-Channel 3D-Tracked A-Mode Ultrasound
In conclusion, this multi-channel A-mode ultrasound system demonstrated a great potential of effectively measuring tibiofemoral kinematics during dynamic motions. Its improved accuracy, nature of non-invasiveness, and lack of radiation exposure make this method a promising alternative to incorporate into gait analysis and prosthetic kinematic measurements later. (Source: Sensors)
Source: Sensors - April 11, 2024 Category: Biotechnology Authors: Kenan Niu Victor Sluiter Bangyu Lan Jasper Homminga Andr é Sprengers Nico Verdonschot Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2440: An Unsupervised Method for Industrial Image Anomaly Detection with Vision Transformer-Based Autoencoder
Guo
Existing industrial image anomaly detection techniques predominantly utilize codecs based on convolutional neural networks (CNNs). However, traditional convolutional autoencoders are limited to local features, struggling to assimilate global feature information. CNNs’ generalizability enables the reconstruction of certain anomalous regions. This is particularly evident when normal and abnormal regions, despite having similar pixel values, contain different semantic information, leading to ineffective anomaly detection. Furthermore, collecting abnormal image samples during actual industrial production ...
Source: Sensors - April 11, 2024 Category: Biotechnology Authors: Qiying Yang Rongzuo Guo Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2441: Dirt Track Surface Preparation and Associated Differences in Speed, Stride Length, and Stride Frequency in Galloping Horses
t Edwards
In racehorses, the risk of musculoskeletal injury is linked to a decrease in speed and stride length (SL) over consecutive races prior to injury. Surface characteristics influence stride parameters. We hypothesized that large changes in stride parameters are found during galloping in response to dirt racetrack preparation. Harrowing of the back stretch of a half-mile dirt racetrack was altered in three individual lanes with decreasing depth from the inside to the outside. Track underlay compaction and water content were changed between days. Twelve horses (six on day 2) were sequentially galloped at a target ...
Source: Sensors - April 11, 2024 Category: Biotechnology Authors: Thilo Pfau Olivia L. Bruce Andrew Sawatsky Renaud Leguillette W. Brent Edwards Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2443: Identification and Positioning of Abnormal Maritime Targets Based on AIS and Remote-Sensing Image Fusion
Zhao
The identification of maritime targets plays a critical role in ensuring maritime safety and safeguarding against potential threats. While satellite remote-sensing imagery serves as the primary data source for monitoring maritime targets, it only provides positional and morphological characteristics without detailed identity information, presenting limitations as a sole data source. To address this issue, this paper proposes a method for enhancing maritime target identification and positioning accuracy through the fusion of Automatic Identification System (AIS) data and satellite remote-sensing imagery. The AIS u...
Source: Sensors - April 11, 2024 Category: Biotechnology Authors: Xueyang Wang Xin Song Yong Zhao Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2412: Physical Activity Detection for Diabetes Mellitus Patients Using Recurrent Neural Networks
gy Eigner
Diabetes mellitus (DM) is a persistent metabolic disorder associated with the hormone insulin. The two main types of DM are type 1 (T1DM) and type 2 (T2DM). Physical activity plays a crucial role in the therapy of diabetes, benefiting both types of patients. The detection, recognition, and subsequent classification of physical activity based on type and intensity are integral components of DM treatment. The continuous glucose monitoring system (CGMS) signal provides the blood glucose (BG) level, and the combination of CGMS and heart rate (HR) signals are potential targets for detecting relevant physical activ...
Source: Sensors - April 10, 2024 Category: Biotechnology Authors: Lehel D énes-Fazakas Barbara Simon Ádám Hartvég Levente Kov ács Éva-Henrietta Dulf L ászló Szilágyi Gy örgy Eigner Tags: Article Source Type: research
Sensors, Vol. 24, Pages 2413: The Analytical Validity of Stride Detection and Gait Parameters Reconstruction Using the Ankle-Mounted Inertial Measurement Unit Syde & reg;
Sensors, Vol. 24, Pages 2413: The Analytical Validity of Stride Detection and Gait Parameters Reconstruction Using the Ankle-Mounted Inertial Measurement Unit Syde®
Sensors doi: 10.3390/s24082413
Authors:
Mona Michaud
Alexandre Guérin
Marguerite Dejean de La Bâtie
Léopold Bancel
Laurent Oudre
Alexis Tricot
The increasing use of inertial measurement units (IMU) in biomedical sciences brings new possibilities for clinical research. The aim of this paper is to demonstrate the accuracy of the IMU-based wearable Syde® device, which allows day-long and remote continuous gait recording in ...
Source: Sensors - April 10, 2024 Category: Biotechnology Authors: Mona Michaud Alexandre Gu érin Marguerite Dejean de La B âtie L éopold Bancel Laurent Oudre Alexis Tricot Tags: Article Source Type: research
