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Total 50292 results found since Jan 2013.

Sensors, Vol. 17, Pages 252: A Novel Earphone Type Sensor for Measuring Mealtime: Consideration of the Method to Distinguish between Running and Meals
In this study, we describe a technique for estimating meal times using an earphone-type wearable sensor. A small optical sensor composed of a light-emitting diode and phototransistor is inserted into the ear hole of a user and estimates the meal times of the user from the time variations in the amount of light received. This is achieved by emitting light toward the inside of the ear canal and receiving light reflected back from the ear canal. This proposed technique allowed “meals” to be differentiated from having conversations, sneezing, walking, ascending and descending stairs, operating a computer, and using a smart...
Source: Sensors - January 26, 2017 Category: Biotechnology Authors: Kazuhiro Taniguchi Hikaru Chiaki Mami Kurosawa Atsushi Nishikawa Tags: Article Source Type: research

Sensors, Vol. 22, Pages 5961: High Precision Classification of Resting and Eating Behaviors of Cattle by Using a Collar-Fitted Triaxial Accelerometer Sensor
This study showed that the collar-fitted triaxial sensor measuring 1 min serial signals could be used as a tool for detecting the resting and eating behaviors of cattle in high precision by segmenting the acceleration signals in a 4 min window size and by using the LSTM classification algorithm.
Source: Sensors - August 9, 2022 Category: Biotechnology Authors: Nogoy Chon Park Sivamani Lee Choi Tags: Article Source Type: research

Sensors, Vol. 20, Pages 5853: Battery-Free and Noninvasive Estimation of Food pH and CO2 Concentration for Food Monitoring Based on Pressure Measurement
Chung In this paper, we developed a battery-free system that can be used to estimate food pH level and carbon dioxide (CO2) concentration in a food package from headspace pressure measurement. While being stored, food quality degrades gradually as a function of time and storage conditions. A food monitoring system is, therefore, essential to prevent the detrimental problems of food waste and eating spoilt food. Since conventional works that invasively measure food pH level and CO2 concentration in food packages have shown several disadvantages in terms of power consumption, system size, cost, and reliability, our study...
Source: Sensors - October 16, 2020 Category: Biotechnology Authors: Thanh-Binh Nguyen Trung-Hau Nguyen Wan-Young Chung Tags: Letter Source Type: research

Sensors, Vol. 21, Pages 4050: Classification of Cattle Behaviours Using Neck-Mounted Accelerometer-Equipped Collars and Convolutional Neural Networks
hristos Tachtatzis Monitoring cattle behaviour is core to the early detection of health and welfare issues and to optimise the fertility of large herds. Accelerometer-based sensor systems that provide activity profiles are now used extensively on commercial farms and have evolved to identify behaviours such as the time spent ruminating and eating at an individual animal level. Acquiring this information at scale is central to informing on-farm management decisions. The paper presents the development of a Convolutional Neural Network (CNN) that classifies cattle behavioural states (`rumination’, `eating’ and `other...
Source: Sensors - June 12, 2021 Category: Biotechnology Authors: Dejan Pavlovic Christopher Davison Andrew Hamilton Oskar Marko Robert Atkinson Craig Michie Vladimir Crnojevi ć Ivan Andonovic Xavier Bellekens Christos Tachtatzis Tags: Article Source Type: research

Sensors, Vol. 23, Pages 642: Multi-Sensor Respiratory & ndash;Swallow Telecare System for Safe Feeding in Different Trunk Inclinations: System Development and Clinical Application
This study aimed to develop a semiautomatic feeding telecare system that provides instant feedback and warnings on-site and remotely. It also aimed to analyze the effects of trunk positions on respiratory–swallow coordination. A signal collector with multiple integrated sensors for real-time respiratory–swallow monitoring and warning was developed. A repeated measures design was implemented to evaluate the effects of trunk inclination angles on the swallow-related functions. Significant differences in inclination angles were discovered for swallowing apnea (p = 0.045) and total excursion time of...
Source: Sensors - January 6, 2023 Category: Biotechnology Authors: Wann-Yun Shieh Chin-Man Wang Yan-Ying Ju Hsin-Yi Kathy Cheng Tags: Article Source Type: research

Sensors, Vol. 16, Pages 1209: Examination of Inertial Sensor-Based Estimation Methods of Lower Limb Joint Moments and Ground Reaction Force: Results for Squat and Sit-to-Stand Movements in the Sagittal Plane
Joint moment estimation by a camera-based motion measurement system and a force plate has a limitation of measurement environment and is costly. The purpose of this paper is to evaluate quantitatively inertial sensor-based joint moment estimation methods with five-link, four-link and three-link rigid body models using different trunk segmented models. Joint moments, ground reaction forces (GRF) and center of pressure (CoP) were estimated for squat and sit-to-stand movements in the sagittal plane measured with six healthy subjects. The five-link model and the four-link model that the trunk was divided at the highest point o...
Source: Sensors - July 31, 2016 Category: Biotechnology Authors: Jun Kodama Takashi Watanabe Tags: Article Source Type: research

Sensors, Vol. 20, Pages 6021: Characteristics and Performances of a Nanostructured Material for Passive Samplers of Gaseous Hg
nella Macagnano Passive air samplers (PASs) have been used for mapping gaseous mercury concentration in extensive areas. In this work, an easy-to-use and -prepare gold nanoparticle (NP)-based PAS has been investigated. The PAS is constituted of a microfibrous quartz disk filter impregnated of gold NP photo-growth on TiO2 NPs (Au@TiO2) and used as gaseous mercury adsorbing material. The disk was housed in a cylinder glass container and subjected to an axial diffusive sampling. The adsorbed mercury was measured by thermal desorption using a Tekran® instrument. Different amounts of Au@TiO2 (ranging between 4.0...
Source: Sensors - October 23, 2020 Category: Biotechnology Authors: Joshua Avossa Fabrizio De Cesare Paolo Papa Emiliano Zampetti Andrea Bearzotti Marcello Marelli Nicola Pirrone Antonella Macagnano Tags: Article Source Type: research

Sensors, Vol. 20, Pages 916: A Security Transmission and Storage Solution about Sensing Image for Blockchain in the Internet of Things
ao Wang With the rapid development of the Internet of Things (IoT), the number of IoT devices has increased exponentially. Therefore, we have put forward higher security requirements for the management, transmission, and storage of massive IoT data. However, during the transmission process of IoT data, security issues, such as data theft and forgery, are prone to occur. In addition, most existing data storage solutions are centralized, i.e., data are stored and maintained by a centralized server. Once the server is maliciously attacked, the security of IoT data will be greatly threatened. In view of the above-mentioned...
Source: Sensors - February 8, 2020 Category: Biotechnology Authors: Yunfa Li Yifei Tu Jiawa Lu Yunchao Wang Tags: Article Source Type: research

Sensors, Vol. 22, Pages 3495: Two Tier Slicing Resource Allocation Algorithm Based on Deep Reinforcement Learning and Joint Bidding in Wireless Access Networks
an Zeng Network slicing (NS) is an emerging technology in recent years, which enables network operators to slice network resources (e.g., bandwidth, power, spectrum, etc.) in different types of slices, so that it can adapt to different application scenarios of 5 g network: enhanced mobile broadband (eMBB), massive machine-type communications (mMTC) and ultra-reliable and low-latency communications (URLLC). In order to allocate these sliced network resources more effectively to users with different needs, it is important that manage the allocation of network resources. Actually, in the practical network resource allocat...
Source: Sensors - May 4, 2022 Category: Biotechnology Authors: Geng Chen Xu Zhang Fei Shen Qingtian Zeng Tags: Article Source Type: research

Sensors, Vol. 23, Pages 352: Crowdsourced Reconstruction of Cellular Networks to Serve Outdoor Positioning: Modeling, Validation and Analysis
Saccomanno Positioning via outdoor fingerprinting, which exploits the radio signals emitted by cellular towers, is fundamental in many applications. In most cases, the localization performance is affected by the availability of information about the emitters, such as their coverage. While several projects aim at collecting cellular network data via crowdsourcing observations, none focuses on information about the structure of the networks, which is paramount to correctly model their topology. The difficulty of such a modeling is exacerbated by the inherent differences among cellular technologies, the strong spatio-tem...
Source: Sensors - December 29, 2022 Category: Biotechnology Authors: Andrea Brunello Andrea Dalla Torre Paolo Gallo Donatella Gubiani Angelo Montanari Nicola Saccomanno Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1996: Trusted Operation of Cyber-Physical Processes Based on Assessment of the System & rsquo;s State and Operating Mode
In this study, two metrics were taken as a sign of an anomaly: the probability of falling into the sensor values’ confidence interval and parameter change monitoring. These two metrics, as well as the current mode evaluation, produce a final probability function for our trust in the CPS’s currently executing control process, which is, in turn, determined by the operating mode of the system. Based on the results of this trust assessment, it is possible to draw a conclusion about the processing state in which the system is operating. If the score is higher than 0.6, it means the system is in a tru...
Source: Sensors - February 10, 2023 Category: Biotechnology Authors: Elena Basan Alexandr Basan Alexey Nekrasov Colin Fidge Evgeniya Ishchukova Anatoly Basyuk Alexandr Lesnikov Tags: Article Source Type: research

Sensors, Vol. 18, Pages 2486: Effectiveness of Virtual Reality for Children and Adolescents with Autism Spectrum Disorder: An Evidence-Based Systematic Review
mez Autism Spectrum Disorder (ASD) is a neurodevelopmental disease that is specially characterized by impairments in social communication and social skills. ASD has a high prevalence in children, affecting 1 in 160 subjects. Virtual reality (VR) has emerged as an effective tool for intervention in the health field. Different recent papers have reviewed the VR-based treatments in ASD, but they have an important limitation because they only use clinical databases and do not include important technical indexes such as the Web of Science index or the Scimago Journal & Country Rank. To our knowledge, this is th...
Source: Sensors - August 1, 2018 Category: Biotechnology Authors: Patricia Mesa-Gresa Hermenegildo Gil-G ómez Jos é-Antonio Lozano-Quilis Jos é-Antonio Gil-Gómez Tags: Review Source Type: research

Sensors, Vol. 18, Pages 2797: Clutch Pedal Sensorization and Evaluation of the Main Parameters Related to Driver Posture
e Díaz An improper decision for the design, selection and adjustment of the components needed to control a vehicle could generate negative effects and discomfort to the driver, where pedals play a very important role. The aim of the study is to provide a first approach to develop an embedded monitoring device in order to evaluate the posture of the driver, the influence of the clutch pedal and to advise about the possible risk. With that purpose in mind, a testbed was designed and two different sets of tests were carried out. The first test collected information about the volunteers who were part of the experiment, li...
Source: Sensors - August 24, 2018 Category: Biotechnology Authors: Ester Olmeda Sergio Fuentes del Toro Mar ía Garrosa Jonatan Pajares Redondo Vicente D íaz Tags: Article Source Type: research

Sensors, Vol. 19, Pages 5199: Recent Trends, Technical Concepts and Components of Computer-Assisted Orthopedic Surgery Systems: A Comprehensive Review
David Oczka Computer-assisted orthopedic surgery (CAOS) systems have become one of the most important and challenging types of system in clinical orthopedics, as they enable precise treatment of musculoskeletal diseases, employing modern clinical navigation systems and surgical tools. This paper brings a comprehensive review of recent trends and possibilities of CAOS systems. There are three types of the surgical planning systems, including: systems based on the volumetric images (computer tomography (CT), magnetic resonance imaging (MRI) or ultrasound images), further systems utilize either 2D or 3D fluoroscopic image...
Source: Sensors - November 26, 2019 Category: Biotechnology Authors: Jan Kubicek Filip Tomanec Martin Cerny Dominik Vilimek Martina Kalova David Oczka Tags: Review Source Type: research

Sensors, Vol. 20, Pages 1302: The Algorithms of Distributed Learning and Distributed Estimation about Intelligent Wireless Sensor Network
n The intelligent wireless sensor network is a distributed network system with high “network awareness”. Each intelligent node (agent) is connected by the topology within the neighborhood which not only can perceive the surrounding environment, but can adjusts its own behavior according to its local perception information to constructs a distributed learning algorithms. Therefore, three basic intelligent network topologies of centralized, non-cooperative, and cooperative are intensively investigated in this paper. The main contributions of the paper include two aspects. First, based on algeb...
Source: Sensors - February 26, 2020 Category: Biotechnology Authors: Fuxiao Tan Tags: Article Source Type: research