Relevant bibliographies by topics / Accelerometry

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Accelerometry'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Accelerometry"

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Roth, Marilyn A., and Jennifer S. Mindell. "Who Provides Accelerometry Data? Correlates of Adherence to Wearing an Accelerometry Motion Sensor: The 2008 Health Survey for England." Journal of Physical Activity and Health 10, no. 1 (2013): 70–78. http://dx.doi.org/10.1123/jpah.10.1.70.

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Background:Use of objective physical activity measures is rising. We investigated the representativeness of survey participants who wore an accelerometer.Methods:4273 adults aged 16+ from a cross-sectional survey of a random, nationally representative general population sample in England in 2008 were categorized as 1) provided sufficient accelerometry data [4−7 valid days (10+ hrs/d), n = 1724], 2) less than that (n = 237), or 3) declined (n = 302). Multinomial logistic regression identified demographic, socioeconomic, health, lifestyle, and biological correlates of participants in these latte
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Evenson, Kelly R., Elissa Scherer, Kennedy M. Peter, Carmen C. Cuthbertson, and Stephanie Eckman. "Historical development of accelerometry measures and methods for physical activity and sedentary behavior research worldwide: A scoping review of observational studies of adults." PLOS ONE 17, no. 11 (2022): e0276890. http://dx.doi.org/10.1371/journal.pone.0276890.

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This scoping review identified observational studies of adults that utilized accelerometry to assess physical activity and sedentary behavior. Key elements on accelerometry data collection were abstracted to describe current practices and completeness of reporting. We searched three databases (PubMed, Web of Science, and SPORTDiscus) on June 1, 2021 for articles published up to that date. We included studies of non-institutionalized adults with an analytic sample size of at least 500. The search returned 5686 unique records. After reviewing 1027 full-text publications, we identified and abstra
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Bolton, Samantha, Nick Cave, Naomi Cogger, and G. R. Colborne. "Use of a Collar-Mounted Triaxial Accelerometer to Predict Speed and Gait in Dogs." Animals 11, no. 5 (2021): 1262. http://dx.doi.org/10.3390/ani11051262.

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Accelerometry has been used to measure treatment efficacy in dogs with osteoarthritis, although interpretation is difficult. Simplification of the output into speed or gait categories could simplify interpretation. We aimed to determine whether collar-mounted accelerometry could estimate the speed and categorise dogs’ gait on a treadmill. Eight Huntaway dogs were fitted with a triaxial accelerometer and then recorded using high-speed video on a treadmill at a slow and fast walk, trot, and canter. The accelerometer data (delta-G) was aligned with the video data and records of the treadmill spee
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Gewolb, Ira H., and Frank L. Vice. "Use of a non-invasive accelerometric method for diagnosing gastroesophageal reflux in premature infants." Journal of Perinatology 41, no. 8 (2021): 1879–85. http://dx.doi.org/10.1038/s41372-021-01034-5.

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Abstract Objective To evaluate the clinical usefulness of a non-invasive accelerometric device to diagnose GER in preterm babies. Study design An accelerometer was taped over the sub-xiphoid process in 110 preterm (GA 29.6 ± 3.3 wk) infants (133 studies). Low frequency, sub-audible signals were captured via digital recording (sampling rate 200 Hz), then re-sampled (rate = 60 Hz) to create a spectrogram (focused range 0–30 Hz). Mean amplitude in the focused range was calculated. Results Of 85 studies with simultaneous pH-metry and accelerometry, 18 had concurrent positive and 23 had concurrent
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Sjöros, Tanja, Henri Vähä-Ypyä, Saara Laine, et al. "Influence of the Duration and Timing of Data Collection on Accelerometer-Measured Physical Activity, Sedentary Time and Associated Insulin Resistance." International Journal of Environmental Research and Public Health 18, no. 9 (2021): 4950. http://dx.doi.org/10.3390/ijerph18094950.

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Accelerometry is a commonly used method to determine physical activity in clinical studies, but the duration and timing of measurement have seldom been addressed. We aimed to evaluate possible changes in the measured outcomes and associations with insulin resistance during four weeks of accelerometry data collection. This study included 143 participants (median age of 59 (IQR9) years; mean BMI of 30.7 (SD4) kg/m2; 41 men). Sedentary and standing time, breaks in sedentary time, and different intensities of physical activity were measured with hip-worn accelerometers. Differences in the accelero
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Wainberg, Michael, Samuel E. Jones, Lindsay Melhuish Beaupre, et al. "Association of accelerometer-derived sleep measures with lifetime psychiatric diagnoses: A cross-sectional study of 89,205 participants from the UK Biobank." PLOS Medicine 18, no. 10 (2021): e1003782. http://dx.doi.org/10.1371/journal.pmed.1003782.

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Background Sleep problems are both symptoms of and modifiable risk factors for many psychiatric disorders. Wrist-worn accelerometers enable objective measurement of sleep at scale. Here, we aimed to examine the association of accelerometer-derived sleep measures with psychiatric diagnoses and polygenic risk scores in a large community-based cohort. Methods and findings In this post hoc cross-sectional analysis of the UK Biobank cohort, 10 interpretable sleep measures—bedtime, wake-up time, sleep duration, wake after sleep onset, sleep efficiency, number of awakenings, duration of longest sleep
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Kwon, Soyang, Patricia Zavos, Katherine Nickele, Albert Sugianto, and Mark V. Albert. "Hip and Wrist-Worn Accelerometer Data Analysis for Toddler Activities." International Journal of Environmental Research and Public Health 16, no. 14 (2019): 2598. http://dx.doi.org/10.3390/ijerph16142598.

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Although accelerometry data are widely utilized to estimate physical activity and sedentary behavior among children age 3 years or older, for toddlers age 1 and 2 year(s), accelerometry data recorded during such behaviors have been far less examined. In particular, toddler’s unique behaviors, such as riding in a stroller or being carried by an adult, have not yet been examined. The objective of this study was to describe accelerometry signal outputs recorded during participation in nine types of behaviors (i.e., running, walking, climbing up/down, crawling, riding a ride-on toy, standing, sitt
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Oliver, Melody, Hannah Badland, Suzanne Mavoa, Mitch J. Duncan, and Scott Duncan. "Combining GPS, GIS, and Accelerometry: Methodological Issues in the Assessment of Location and Intensity of Travel Behaviors." Journal of Physical Activity and Health 7, no. 1 (2010): 102–8. http://dx.doi.org/10.1123/jpah.7.1.102.

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Background:Global positioning systems (GPS), geographic information systems (GIS), and accelerometers are powerful tools to explain activity within a built environment, yet little integration of these tools has taken place. This study aimed to assess the feasibility of combining GPS, GIS, and accelerometry to understand transport-related physical activity (TPA) in adults.Methods:Forty adults wore an accelerometer and portable GPS unit over 7 consecutive days and completed a demographics questionnaire and 7-day travel log. Accelerometer and GPS data were extracted for commutes to/from workplace
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Nedergaard, Niels J., Mark A. Robinson, Elena Eusterwiemann, Barry Drust, Paulo J. Lisboa, and Jos Vanrenterghem. "The Relationship Between Whole-Body External Loading and Body-Worn Accelerometry During Team-Sport Movements." International Journal of Sports Physiology and Performance 12, no. 1 (2017): 18–26. http://dx.doi.org/10.1123/ijspp.2015-0712.

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Purpose:To investigate the relationship between whole-body accelerations and body-worn accelerometry during team-sport movements.Methods:Twenty male team-sport players performed forward running and anticipated 45° and 90° side-cuts at approach speeds of 2, 3, 4, and 5 m/s. Whole-body center-of-mass (CoM) accelerations were determined from ground-reaction forces collected from 1 foot–ground contact, and segmental accelerations were measured from a commercial GPS accelerometer unit on the upper trunk. Three higher-specification accelerometers were also positioned on the GPS unit, the dorsal aspe
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Schrack, Jennifer, and Amal Wanigatunga. "MOVING, THINKING, AND SLEEPING: NOVEL INSIGHTS INTO PHYSICAL AND COGNITIVE HEALTH FROM ACCELEROMETRY DATA." Innovation in Aging 6, Supplement_1 (2022): 330. http://dx.doi.org/10.1093/geroni/igac059.1303.

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Abstract Physical activity and sleep are well-established predictors of health and longevity with aging. Wrist accelerometers, that produce high-frequency time series data, capture multiple aspects of daily physical activity and sleep 24-hours/day. Historically, the majority of accelerometry-based activity research has employed summary metrics to understand the associations of total daily physical activity and sleep with physical and cognitive health. Although these measures are important for understanding conformity with physical activity and sleep recommendations, they underutilize the poten
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Dissertations / Theses on the topic "Accelerometry"

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Nilsson, Andreas. "Physical activity assessed by accelerometry in children." Doctoral thesis, Örebro : Örebro University, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-1739.

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Machado, Inês Prata. "Human activity data discovery based on accelerometry." Master's thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/10992.

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Stoltz, Victor, and Manne Godhe. "Validity of accelerometry in high-intensity complex movements." Thesis, Gymnastik- och idrottshögskolan, GIH, Institutionen för idrotts- och hälsovetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:gih:diva-3268.

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Abstract Aim The aim of the study was to examine the capability of accelerometers to estimate energy expenditure during high-intensity complex physical activity patterns. Also, to investigate whether placing the monitor on the hip or wrist influenced its prediction ability. Furthermore, the purpose was also to evaluate if there was a significant difference in the aforementioned estimations using data from one axis compared to all three axis combined.     Method A total of 14 subjects, eight men and six women, mean (SD) age of 26, 4 (5,5) years were recruited for the study. The participants pe
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Gerrard-Longworth, S. P. "Measuring physical activity in obese populations using accelerometry." Thesis, University of Salford, 2015. http://usir.salford.ac.uk/34502/.

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The thesis is concerned with objectively measuring human physical activity through accelerometry, and compares the effectiveness of algorithms between obese and non-obese groups. The thesis comprises three studies: Classification of Aerobic and Gym-based Exercises from Accelerometer Output. This study investigated whether accurate classification could be achieved from hip- or ankle-mounted accelerometers for a programme of aerobic exercises and free-living activities. It also examined whether accuracy was affected by obesity, and whether a single classifier could be applied across BMI groups.
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Wilhelm, Spencer Christian. "Prediction of Non-Resting Energy Expenditure using Accelerometry." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/91463.

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The accurate measurement of total energy expenditure is a cornerstone of metabolic research. However, there is a lack of measurement methods that are valid, objective, inexpensive, and easy to use. Accelerometry, along with validated prediction equations for resting energy requirements, may provide an opportunity to fill this void. Twenty weight stable adults (12 female, 8 male) who recently participated in a controlled feeding study comprised the study sample. Total energy requirements were assessed from the controlled feeding period in which weight stability was achieved using the intake
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São, Marcos Ana Jorge Romão. "Physical activity measurements in adolescents: accelerometry vs PAI." Master's thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/13732.

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Mestrado em Fisioterapia<br>Background: Practicing physical activity (PA) has shown to present health benefits at all ages, namely in paediatrics. There are several methods to evaluate PA, however the most frequently used are the self-report questionnaires and accelerometry. The latter is an objective measuring tool, however it requires the use of relatively expensive devices. Questionnaires are easy and quick to apply, and therefore a useful tool to evaluate PA. Despite the existence of some questionnaires to evaluate PA in adolescents, there is still none validated against accelerometr
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van, Hees Vincent Theodoor. "Implementation of raw accelerometry in physical activity epidemiology." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610767.

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Sato, Kimitake, William A. Sands, and Michael H. Stone. "The Reliability of Accelerometry to Measure Weightlifting Performance." Digital Commons @ East Tennessee State University, 2012. https://dc.etsu.edu/etsu-works/4616.

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The purposes of the study were to track weightlifters' barbell acceleration with a portable accelerometer over three training sessions to examine test–retest reliability and to compare peak barbell acceleration at different training intensities. Twelve nationally ranked weightlifters volunteered for this study. The portable accelerometer was attached to the right side of the barbell to measure barbell resultant acceleration during the snatch lift at a sampling frequency of 100 Hz. The data were collected over three training sessions at intensity levels of 80%, 85%, and 90% of one repetition ma
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Siebert, Christopher Michael. "Heart Rate and Accelerometry during Footbag Net Singles Play." Portland State University, 2013.

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Kotru, Krish. "Timekeeping and accelerometry with robust light pulse atom interferometers." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98681.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2015.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 165-173).<br>Light pulse atom interferometry (LPAI) is a powerful technique for precision measurements of inertial forces and time. Laboratory LPAI systems currently achieve state-ofthe- art acceleration sensitivity and establish the international atomic time standard. However, the realization of practical LPAI in dynamic environments (e.g., rapidly accelerating or rotating platforms) has been limited in
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Books on the topic "Accelerometry"

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Shephard, Roy J., and Catrine Tudor-Locke, eds. The Objective Monitoring of Physical Activity: Contributions of Accelerometry to Epidemiology, Exercise Science and Rehabilitation. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29577-0.

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Dauderstädt, Ulrike Anna. A thermal accelerometer. Delft University Press, 1999.

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Olcott, Joanne E. Fiber-optic flexural disk accelerometer. Naval Postgraduate School, 1991.

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Levinzon, Felix. Piezoelectric Accelerometers with Integral Electronics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08078-9.

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Varum, Humberto, and Sérgio de Brito André. Accelerometers: Principles, structure and applications. Nova Science Publishers, Inc., 2011.

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B, Rogers Melissa J., and United States. National Aeronautics and Space Administration., eds. Accelerometer data analysis and presentation techniques. National Aeronautics and Space Administration, 1997.

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A, Rogers John, and Geological Survey (U.S.), eds. Relative performance of several inexpensive accelerometers. U.S. Dept. of the Interior, U.S. Geological Survey, 1995.

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C, Blanchard Robert, Larman K. T, and Langley Research Center, eds. Improved HIRAP flight calibration technique. National Aeronautics and Space Administration, Langley Research Center, 1992.

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Xu, Yong Ping. MEMS Silicon Oscillating Accelerometers and Readout Circuits. River Publishers, 2022. http://dx.doi.org/10.1201/9781003338826.

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Andreĭchenko, K. P. Dinamika poplavkovykh giroskopov i akselerometrov. "Mashinostroenie", 1987.

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Book chapters on the topic "Accelerometry"

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Abrams, David B., J. Rick Turner, Linda C. Baumann, et al. "Accelerometry." In Encyclopedia of Behavioral Medicine. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_100008.

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Schwintzer, Peter, Z. Kang, and F. Perosanz. "Accelerometry Aboard CHAMP." In International Association of Geodesy Symposia. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59745-9_39.

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Connes, Pierre. "Absolute Astronomical Accelerometry." In Seismology of the Sun and the Distant Stars. Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4608-8_43.

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Connes, Pierre. "Development of Absolute Accelerometry." In Planetary Systems: Formation, Evolution, and Detection. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1154-6_37.

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Innerd, Paul. "The technology of accelerometry." In Physical Activity Assessment. Routledge, 2019. http://dx.doi.org/10.4324/9781315163260-8.

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Sanso, Fernando, A. Albertella, G. Bianco, et al. "SAGE: An Italian Project of Satellite Accelerometry." In International Association of Geodesy Symposia. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59745-9_38.

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Veltink, P. H., and H. B. K. Boom. "3D Movement Analysis Using Accelerometry — Theoretical Concepts." In Neuroprosthetics: from Basic Research to Clinical Applications. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-80211-9_39.

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Amor, J. D., and C. J. James. "Personalized Ambient Monitoring: Accelerometry for Activity Level Classification." In IFMBE Proceedings. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89208-3_207.

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Aminian, Kamiar, Eduardo De Andres, Karen Rezakhanlou, et al. "Motion Analysis in Clinical Practice Using Ambulatory Accelerometry." In Modelling and Motion Capture Techniques for Virtual Environments. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-49384-0_1.

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Martinikorena, Ion, Alicia Martínez-Ramírez, Pablo Lecumberri, Nora Millor, Marisol Gómez, and Mikel Izquierdo. "Frailty Assessment Based on Trunk Accelerometry during Walking." In Biosystems & Biorobotics. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08072-7_79.

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Conference papers on the topic "Accelerometry"

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LeDesma, Catherine, Kendall Mehling, and Murray Holland. "Vector atom accelerometry in an optical lattice." In Quantum Sensing, Imaging, and Precision Metrology III, edited by Selim M. Shahriar. SPIE, 2025. https://doi.org/10.1117/12.3053450.

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Castellanos Alonso, Alejandro, Antonio López, Diego Garcia-Perez, Diego Álvarez, and Juan Carlos Alvarez. "Human Activity Recognition from Thigh and Wrist Accelerometry." In ESANN 2024. Ciaco - i6doc.com, 2024. http://dx.doi.org/10.14428/esann/2024.es2024-75.

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Akinola, Shafiu, Paul Okewunmi, and Miracle Eghrudje. "Accelerometry-Based Improvement of F450 Quadcopter Flight Control." In 2024 IEEE 5th International Conference on Electro-Computing Technologies for Humanity (NIGERCON). IEEE, 2024. https://doi.org/10.1109/nigercon62786.2024.10927269.

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Agrawal, Aman R., Mitul Dey Chowdhury, Christian M. Pluchar, and Dalziel Wilson. "Membrane-based optomechanical accelerometry." In CLEO: Applications and Technology. OSA, 2021. http://dx.doi.org/10.1364/cleo_at.2021.jtu2i.3.

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Zhu, Ruoxi, Zifan Zhou, Jason Bonacum, and Selim Shahriar. "Slow Light Enhanced Accelerometry." In Frontiers in Optics. Optica Publishing Group, 2022. http://dx.doi.org/10.1364/fio.2022.jtu4b.8.

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We show how to realize a slow-light enhanced accelerometer using a Mach-Zehnder Interferometer. A proof-of-principle experiment carried out with Rb vapor is found to produce results in close agreement with the theoretical model.
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Zahnd, Etienne, Faezeh Movahedi, James L. Coyle, Ervin Sejdić, and Prahlad G. Menon. "Correlating Tri-Accelerometer Swallowing Vibrations and Hyoid Bone Movement in Patients With Dysphagia." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-66133.

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Swallowing accelerometry has been recently investigated as a potential non-invasive tool for dysphagia screening. This method is based on the translation of vibrations recorded from the upper aerodigestive tract structure during swallowing into a voltage signal. Some studies hypothesize the hyoid bone movement during swallowing as the source of swallow vibrations, as it is an essential component of swallowing function that contributes to protection of the airway during the swallow. However, there is still an open question about the physiological source of swallowing vibrations. In this paper,
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Garnotel, M., C. Simon, and S. Bonnet. "Physical activity estimation from accelerometry." In 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2019. http://dx.doi.org/10.1109/embc.2019.8856957.

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Xu, Min, Albert Goldfain, Atanu Roy Chowdhury, and Jim DelloStritto. "Towards accelerometry based static posture identification." In 2011 IEEE Consumer Communications and Networking Conference (CCNC). IEEE, 2011. http://dx.doi.org/10.1109/ccnc.2011.5766477.

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"MECHANOMYOGRAPHIC SENSOR - A Triaxial Accelerometry Approach." In International Conference on Biomedical Electronics and Devices. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001054601760179.

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Vasilyev, Vladimir, Vasilii Borisov, and Alexey Syskov. "Accelerometry for Human Activity Recognition: an Overview." In 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB). IEEE, 2021. http://dx.doi.org/10.1109/csgb53040.2021.9496042.

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Reports on the topic "Accelerometry"

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Siebert, Christopher. Heart Rate and Accelerometry during Singles Footbag Net Play. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.650.

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Butler, Michelle A., Brandon K. Doan, Michael Hanna, et al. An Investigation of Head Accelerometry, Cognitive Function, and Brain Blood Flow During Intercollegiate Boxing and its Impact Regarding Head Injury Assessment In Combat. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada564443.

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Hamlin, Alexandra, Erik Kobylarz, James Lever, Susan Taylor, and Laura Ray. Assessing the feasibility of detecting epileptic seizures using non-cerebral sensor. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42562.

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This paper investigates the feasibility of using non-cerebral, time-series data to detect epileptic seizures. Data were recorded from fifteen patients (7 male, 5 female, 3 not noted, mean age 36.17 yrs), five of whom had a total of seven seizures. Patients were monitored in an inpatient setting using standard video electroencephalography (vEEG), while also wearing sensors monitoring electrocardiography, electrodermal activity, electromyography, accelerometry, and audio signals (vocalizations). A systematic and detailed study was conducted to identify the sensors and the features derived from t
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วัณณสุโภประสิทธิ์, วิทยา. Cobots : Collaborative Robots : รายงานฉบับสมบูรณ์. จุฬาลงกรณ์มหาวิทยาลัย, 2005. https://doi.org/10.58837/chula.res.2005.54.

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Inertial Measurement Unit เป็นสิ่งจำเป็นในการวัดสัญญาณการควบคุมระดับสูงสำหรับหุ่นยนต์เคลื่อนที่ งานวิจัยนี้เป็นการออกแบบและพัฒนา Inertial Measurement Unit เพื่อต้องการหามุมและความเร็วในการเคลื่อนที่ของหุ่นยนต์เคลื่อนที่ ที่มีสามองศาอิสระ หลักการโดยย่อคือการนำ Rate Gyroscope และ Accelerometer สำหรับวัดอัตราการหมุน และความเร่งในทั้งสามแกนและกรอปกับการใช้สมการ Forward Jacobian และ Inverse Jacobian ของหุ่นยนต์ดังกล่าวเพื่อทำการวัดความเร็วของหุ่นยนต์โดยอาศัยการวัดจากล้อ (Odometry) และนำข้อมูลทั้งหมดเข้าสู่ Kalman Filter ทำการประมาณหา Bias ของ Gyro และ Accelerometer เพื่อหาความเร็วและมุมของหุ่นยนต์ท
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Warne, Larry Kevin, Carrie Frances Schmidt, Kenneth Allen Peterson, et al. Levitated micro-accelerometer. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/919151.

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Koehler, D. R., S. H. Kravitz, and P. T. Vianco. Ultraminiature resonator accelerometer. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/231652.

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Porterfield, Malcolm Kenneth. Accelerometer Drift Study. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1601376.

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8

Balls, J. D. Neurological Diagnostic Accelerometer. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/755833.

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Ammerman, D. J., M. M. Madsen, W. L. Uncapher, D. R. Stenberg, and D. R. Bronowski. Accelerometer and strain gage evaluation. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/5213009.

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10

MATERIALS SYSTEMS INC LITTLETON MA. 1-3 Composite Accelerometer Array. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada299622.

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