Effects of group sports activities on physical activity and social interaction abilities of children with autism spectrum disorders by Yu Xing, Yu Xing, Shuaibin Huang, Yatong Zhao, Xueping Wu

“…Physical activity was monitored using a three-axis accelerometer (Model: ActiGraph GT3X+), and social interaction ability was measured using the playground observation of peer engagement (POPE) observation scale to evaluate the social interaction states of children in the experimental group after the physical activities.Results and discussionAfter the intervention, the sitting time of children in the experimental group was significantly reduced (t = −12.735, p < 0.001, Cohen d = 2.75), and the time of moderate and high-intensity physical activity was significantly increased (t = −8.79, p < 0.001, Cohen d = 1.82). …”
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Innovation through Wearable Sensors to Collect Real-Life Data among Pediatric Patients with Cardiometabolic Risk Factors by Kestens Yan, Barnett Tracie, Mathieu Marie-Ève, Henderson Mélanie, Bigras Jean-Luc, Thierry Benoit, Maxime St-Onge, Lambert Marie

“…Proof of concept and tools are presented using data collected among the first 37 participants recruited in 2011. Results. Valid accelerometer data was available for 5.6 (SD=1.62) days in average, heart rate data for 6.5 days, and GPS data was available for 6.1 (2.1) days. …”
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Wearable microfluidic biosensors with haptic feedback for continuous monitoring of hydration biomarkers in workers by Julia C. Spinelli, Brandon J. Suleski, Donald E. Wright, Joseph L. Grow, Gabriel R. Fagans, Maura J. Buckley, Da Som Yang, Kaitao Yang, Steven M. Beil, Jessica C. Wallace, Thomas S. DiZoglio, Jeffrey B. Model, Shirley Love, David E. Macintosh, Alan P. Scarth, Matthew T. Marrapode, Corinna Serviente, Raudel Avila, Barrak K. Alahmad, Michael A. Busa, John A. Wright, Weihua Li, Douglas J. Casa, John A. Rogers, Stephen P. Lee, Roozbeh Ghaffari, Alexander J. Aranyosi

“…The device contains two temperature sensors for skin temperature and thermal flux recordings, and an accelerometer for real-time monitoring of activity level. …”
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Advancing Objective Mobile Device Use Measurement in Children Ages 6–11 Through Built-In Device Sensors: A Proof-of-Concept Study by Olivia L. Finnegan, R. Glenn Weaver, Hongpeng Yang, James W. White, Srihari Nelakuditi, Zifei Zhong, Rahul Ghosal, Yan Tong, Aliye B. Cepni, Elizabeth L. Adams, Sarah Burkart, Michael W. Beets, Bridget Armstrong

“…SensorLog was downloaded onto study iPads and collected data from the accelerometer, gyroscope, and magnetometer sensors while the participant interacted with the iPad. …”
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A supervised model to identify wolf behavior from tri-axial acceleration by Charlotte Lorand, Léa Bouet, Olivier Devineau, Marianna Chimienti, Alina L. Evans, Peggy Callahan, Mark Beckel, Timothy G. Laske, Ane Eriksen

“…To address this issue, behavior classification models have increasingly been used to detect specific behaviors in wildlife equipped with tri-axial accelerometers. Such models typically need to be trained on data from the target species. …”
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Pengenalan Aktivitas Manusia Menggunakan Sensor Akselerometer dan Giroskop pada Smatphone dengan Metode K-Nearest Neighbor by Zainal Arifien, Fitra Abdurrahman Bachtiar, Novanto Yudistira

“…This study uses smartphones as the main technology in obtaining data by utilizing the built-in accelerometer and gyroscope sensors. There are 8 types of activities studied with a combination of 5, 10, and 15 seconds of experimental time and the position of the smartphone is carried freely or in the right trouser pocket. …”
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The association between 24-h movement behaviours and adiposity among Australian preschoolers: a compositional data analysis by Marga Decraene, Kar Hau Chong, Ty Stanford, Dorothea Dumuid, Penny Cross, Greet Cardon, Vera Verbestel, Marieke De Craemer, Anthony Okely

“…Methods Australian preschoolers (3–5 years) from the Early Start Baseline Study wore an ActiGraph accelerometer to assess sedentary behaviour (SB), light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA). …”
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Myofascial trigger points therapy increases neck mobility and reduces headache pain in migraine patients – pilot study by Maciej Olesiejuk, Małgorzata Chalimoniuk, Tomasz Sacewicz

“…Outcome measures included: CS-ROM (assessed using an accelerometer system), subjective headache pain intensity (evaluated via the Visual Analog Scale (VAS)), and calcitonin gene-related peptide (CGRP) concentrations. …”
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Association between lifestyle factors and thyroid function in young sedentary euthyroid adults by Elisa Merchan-Ramirez, Guillermo Sanchez-Delgado, Lucas Jurado-Fasoli, Francisco M Acosta, Manuel Muñoz-Torres, Jose M. Llamas-Elvira, Jonatan R Ruiz

“…The time spent in sedentary, PA levels and sleep habits were objectively measured using a wrist-worn accelerometer. Results: Energy and carbohydrate intake were positively associated with thyroid stimulating hormone (TSH) (β = 0.222; R2 = 0.102; P = 0.022 and β = 0.425; R2 = 0.129; P = 0.007, respectively) whereas fat intake was negatively associated with TSH (β = −0.428; R2 = 0.137; P = 0.004). …”
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Normative Database of Spatiotemporal Gait Metrics Across Age Groups: An Observational Case–Control Study by Lianne Mobbs, Vinuja Fernando, R. Dineth Fonseka, Pragadesh Natarajan, Monish Maharaj, Ralph J. Mobbs

“…., equipped with a triaxial accelerometer, gyroscope, and magnetometer, was used to capture gait data. …”
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Impact of bedroom light exposure on glucose metabolic markers and the role of circadian-dependent meal timing: A population-based cross-sectional study by Qi Li, Yu-xiang Xu, Xiu-zhen Lu, Yu-ting Shen, Yu-hui Wan, Pu-yu Su, Fang-biao Tao, Xin Chen, Ying Sun

“…Seven consecutive days of sleep time and 24-h dietary records were assessed by wrist-worn accelerometer and mobile phone photos, respectively. …”
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IMU Sensor-Based Worker Behavior Recognition and Construction of a Cyber–Physical System Environment by Sehwan Park, Minkyo Youm, Junkyeong Kim

“…In particular, methods such as using accelerometers and gyroscopes within MEMS sensors to acquire data based on workers’ angles, utilizing three-axis accelerometers and barometric pressure sensors to improve the accuracy of fall detection systems, and measuring the wearer’s gait using the x-, y-, and z-axis data from accelerometers and gyroscopes are being studied. …”
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An improved coarse alignment algorithm for SINS based on rotation modulation by Yong Yang, Donglin Li, Lingbing Kong, Kaijun Xu, Honghui Xiang

“…The primary challenge in this process lies in reducing the alignment time while enhancing accuracy, particularly as conventional analytic algorithms often suffer from decreased precision due to measurement errors in accelerometers and gyroscopes. This paper proposes an improved coarse alignment algorithm by introducing single-axis continuous rotation modulation to compensate for the errors in gyroscopes and accelerometers, thus improving accuracy. …”
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Technology applications in bovine gait analysis: A scoping review. by Amir Nejati, Anna Bradtmueller, Elise Shepley, Elsa Vasseur

“…Among emergent technologies, deep learning and wearable sensors (e.g., accelerometers) appear to be the most promising options. …”
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Searching for string bosenovas with gravitational wave detectors by Dawid Brzeminski, Anson Hook, Junwu Huang, Clayton Ristow

“…We work out the spectral density of this acceleration, and project that modern accelerometers and equivalence principle tests can be sensitive to the passing of these strings.…”
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Pre- and Post-Operative Pain Intensity and Physical Activity Levels in Individuals with Acetabular Dysplasia Undergoing Periacetabular Osteotomy: A Prospective Cohort Study by Naif Alrashdi, Robert Motl, Elroy Aguiar, Donald Lein Jr, Suzanne Perumean-Chaney, Michael Ryan, Matthew Ithurburn

“…PA levels was evaluated before and six months following PAO using accelerometers (time spent in sedentary behavior, light PA, moderate-to-vigorous PA \[MVPA\], and daily steps) and the International Physical Activity Questionnaire (IPAQ; time spent in walking and in MVPA). …”
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Flight Path Reconstruction and Parameter Estimation Using Output-Error Method by Benedito Carlos de Oliveira Maciel, Luiz Carlos Sandoval Góes, Elder Moreira Hemerly, Nei Salis Brasil Neto

“…Experimental results are reported, employing a real jet aircraft, with flight test data acquired by smart probes, inertial sensors (gyrometers and accelerometers) and Global Positioning Systems (GPS) receivers.…”
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Feature Comparison in Structural Health Monitoring of a Vehicle Crane by J. Kullaa, T. Heine

“…The performance of different features to detect damage was investigated after eliminating the normal operational variations using factor analysis. Using eight accelerometers, ten AR parameters from each record were identified for damage detection. …”
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Measurement of the Physical Properties during Laparoscopic Surgery Performed on Pigs by Using Forceps with Pressure Sensors by Hiroyuki Yamanaka, Kazuhide Makiyama, Kimito Osaka, Manabu Nagasaka, Masato Ogata, Takahiro Yamada, Yoshinobu Kubota

“…Several sensors, including strain gauges, accelerometers, and a potentiometer, are attached to the forceps. …”
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Capabilities for Probing of Upper Atmosphere Density Variations and Seismic-Orbital Effects Using Small-Size Spacecraft by A. V. Tertyshnikov

“…The "falling spheres method" is used to probe variations in the density of the upper atmosphere.A technical solution for diagnostics of orbital sections with abnormal changes in the speed and acceleration of  spacecraft  equipped  with  onboard  navigation  receivers  and  micro-accelerometers is considered.The technical result of the proposed development is the efficiency and cost – effectiveness of sounding variations in the density of the upper atmosphere, seismic-orbital effects-variations in the density of the atmosphere over earthquake-regions and the seismic hazard.…”
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