Bibliografie tematiche / Triaxial accelerometer

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Letteratura scientifica selezionata sul tema "Triaxial accelerometer"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 19 febbraio 2023

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Articoli di riviste sul tema "Triaxial accelerometer"

Zheng, Yuhuang. "Human Activity Recognition Based on the Hierarchical Feature Selection and Classification Framework." Journal of Electrical and Computer Engineering 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/140820.

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Human activity recognition via triaxial accelerometers can provide valuable information for evaluating functional abilities. In this paper, we present an accelerometer sensor-based approach for human activity recognition. Our proposed recognition method used a hierarchical scheme, where the recognition of ten activity classes was divided into five distinct classification problems. Every classifier used the Least Squares Support Vector Machine (LS-SVM) and Naive Bayes (NB) algorithm to distinguish different activity classes. The activity class was recognized based on the mean, variance, entropy

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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 (April 27, 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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Scheeper, Patrick, Jens Ole Gulløv, and Lars Munch Kofoed. "A piezoelectric triaxial accelerometer." Journal of Micromechanics and Microengineering 6, no. 1 (March 1, 1996): 131–33. http://dx.doi.org/10.1088/0960-1317/6/1/032.

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Lawinger, Elizabeth, Tim L. Uhl, Mark Abel, and Srinath Kamineni. "Assessment of Accelerometers for Measuring Upper-Extremity Physical Activity." Journal of Sport Rehabilitation 24, no. 3 (August 2015): 236–43. http://dx.doi.org/10.1123/jsr.2013-0140.

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Objective:The overarching goal of this study was to examine the use of triaxial accelerometers in measuring upper-extremity motions to monitor upper-extremity-exercise compliance. There were multiple questions investigated, but the primary objective was to investigate the correlation between visually observed arm motions and triaxial accelerometer activity counts to establish fundamental activity counts for the upper extremity.Study Design:Cross-sectional, basic research.Setting:Clinical laboratory.Participants:Thirty healthy individuals age 26 ± 6 y, body mass 24 ± 3 kg, and height 1.68 ± 0.0

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Yuan, Bo, Zhifeng Tang, Pengfei Zhang, and Fuzai Lv. "Thermal Calibration of Triaxial Accelerometer for Tilt Measurement." Sensors 23, no. 4 (February 13, 2023): 2105. http://dx.doi.org/10.3390/s23042105.

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The application of MEMS accelerometers used to measure inclination is constrained by their temperature dependence, and each accelerometer needs to be calibrated individually to increase stability and accuracy. This paper presents a calibration and thermal compensation method for triaxial accelerometers that aims to minimize cost and processing time while maintaining high accuracy. First, the number of positions to perform the calibration procedure is optimized based on the Levenberg-Marquardt algorithm, and then, based on this optimized calibration number, thermal compensation is performed bas

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de Graauw, Suzanne M., Janke F. de Groot, Marco van Brussel, Marjolein F. Streur, and Tim Takken. "Review of Prediction Models to Estimate Activity-Related Energy Expenditure in Children and Adolescents." International Journal of Pediatrics 2010 (2010): 1–14. http://dx.doi.org/10.1155/2010/489304.

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Purpose. To critically review the validity of accelerometry-based prediction models to estimate activity energy expenditure (AEE) in children and adolescents.Methods. The CINAHL, EMBASE, PsycINFO, and PubMed/MEDLINE databases were searched. Inclusion criteria were development or validation of an accelerometer-based prediction model for the estimation of AEE in healthy children or adolescents (6–18 years), criterion measure: indirect calorimetry, or doubly labelled water, and language: Dutch, English or German.Results. Nine studies were included. Median methodological quality was5.5±2.0 IR (out

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Gao, Yanbin, Lianwu Guan, and Tingjun Wang. "Triaxial Accelerometer Error Coefficients Identification with a Novel Artificial Fish Swarm Algorithm." Journal of Sensors 2015 (2015): 1–17. http://dx.doi.org/10.1155/2015/509143.

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Artificial fish swarm algorithm (AFSA) is one of the state-of-the-art swarm intelligence techniques, which is widely utilized for optimization purposes. Triaxial accelerometer error coefficients are relatively unstable with the environmental disturbances and aging of the instrument. Therefore, identifying triaxial accelerometer error coefficients accurately and being with lower costs are of great importance to improve the overall performance of triaxial accelerometer-based strapdown inertial navigation system (SINS). In this study, a novel artificial fish swarm algorithm (NAFSA) that eliminate

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Микола Григорович Черняк, Владислав Володимирович Рибак, and Віктор Анатолійович Палюшок. "Calibration with specified accuracy of triaxial block of navigation accelerometers on the uniaxial rotary stand." MECHANICS OF GYROSCOPIC SYSTEMS, no. 28 (April 1, 2015): 5–15. http://dx.doi.org/10.20535/0203-377128201438955.

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The paper is devoted to solving the problem of calibration with specified precision of triaxial block of navigation accelerometers on the uniaxial rotary stand.In paper introduced all the characteristics, for calibration of triaxial block of navigation accelerometers on the uniaxial rotary stand, instrumental error sources upon which was obtained mathematical errors model of calibration. This model allows to calculate the error which the coefficients of metrology model of triaxial accelerometer unit was identified, if we have the numerical values of precision equipment errors.Using the mathema

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Sun, Yifan, and Xiang Xu. "Calibration of MEMS Triaxial Accelerometers Based on the Maximum Likelihood Estimation Method." Mathematical Problems in Engineering 2020 (September 21, 2020): 1–10. http://dx.doi.org/10.1155/2020/4617365.

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As a widely used inertial device, a MEMS triaxial accelerometer has zero-bias error, nonorthogonal error, and scale-factor error due to technical defects. Raw readings without calibration might seriously affect the accuracy of inertial navigation system. Therefore, it is necessary to conduct calibration processing before using a MEMS triaxial accelerometer. This paper presents a MEMS triaxial accelerometer calibration method based on the maximum likelihood estimation method. The error of the MEMS triaxial accelerometer comes into question, and the optimal estimation function is established. Th

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Hyyti, Heikki, and Arto Visala. "A DCM Based Attitude Estimation Algorithm for Low-Cost MEMS IMUs." International Journal of Navigation and Observation 2015 (November 30, 2015): 1–18. http://dx.doi.org/10.1155/2015/503814.

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An attitude estimation algorithm is developed using an adaptive extended Kalman filter for low-cost microelectromechanical-system (MEMS) triaxial accelerometers and gyroscopes, that is, inertial measurement units (IMUs). Although these MEMS sensors are relatively cheap, they give more inaccurate measurements than conventional high-quality gyroscopes and accelerometers. To be able to use these low-cost MEMS sensors with precision in all situations, a novel attitude estimation algorithm is proposed for fusing triaxial gyroscope and accelerometer measurements. An extended Kalman filter is impleme

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Tesi sul tema "Triaxial accelerometer"

MORIKAWA, SERGIO RICARDO KOKAY. "TRIAXIAL BRAGG GRATING ACCELEROMETER." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2004. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=5413@1.

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AGÊNCIA NACIONAL DE PETRÓLEO TRANSMISSÃO DE ENERGIA ELÉTRICA S.A Desde o final da década de 80 a indústria de fibras óticas têm passado por avanços consideráveis. Através de técnicas controladas, as fibras ópticas podem gerar sinais associados a uma vasta gama de grandezas físicas funcionando como sensores denominados de Sensores a Fibra Óptica (SFO s). Diversas técnicas podem ser empregadas para tal, e entre as existentes a baseada em redes de Bragg é a que mais tem se destacado. O interesse por transdutores empregando esta técnica se justifica pelas vantagens proporcionadas pel

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Mathie, Merryn Joy Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "Monitoring and interpreting human movement patterns using a triaxial accelerometer." Awarded by:University of New South Wales. School of Electrical Engineering and Telecommunications, 2003. http://handle.unsw.edu.au/1959.4/27386.

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This thesis addresses the hypothesis that a single, waist-mounted triaxial accelerometer (TA) can be used to monitor human movement patterns in unsupervised, freeliving subjects over extended periods, and that it can be used to quantitatively measure parameters that can provide clinical insight into the health status of the subject. A rigorous theoretical and experimental understanding of the signals obtained from a TA is developed. The effect of the placement of the TA device on the waist is explored and a model relating device position to TA signal is developed for a range of postures and ac

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Elliott, Richard A. "A user interactive calibration program for an object tracking system using a triaxial accelerometer." Honors in the Major Thesis, University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/1799.

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A major method in object tracking systems and other inertial measurement devices resolves around the use of one, two, or three axis accelerometers. A leader in the field such devices is Microstrain Incorporated. They have developed a three axis accelerometer that uses a three axis magnetic sensor array to compute the pitch, roll, and yaw of a compact inertial measurement unit. In researching such devices, it became apparent that data collected using such units is extremely sensitive both to local magnetic fields and human interactions with the devices. It is therefore of great importance to en

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Peregino, Philip J. II, and Edward F. Bukowski. "DEVELOPMENT, EVALUATION AND IMPLEMENTATION OF A SURFACE-MOUNT, HIGH-G ACCELEROMETER." International Foundation for Telemetering, 2007. http://hdl.handle.net/10150/604516.

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ITC/USA 2007 Conference Proceedings / The Forty-Third Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2007 / Riviera Hotel & Convention Center, Las Vegas, Nevada The Endevco model 7270A high-g accelerometer has been used successfully in numerous flight tests at the U.S. Army Research Laboratory. The accelerometer is available in ranges as low as 6,000 g’s up to 200,000 g’s so they can be used in a variety of situations to measure setback, set forward and balloting in artillery rounds, mortars and tank projectiles to name a few. However, one of the disa

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Robért, Bradley Duane. "Validation and implementation of a remote three-dimensional accelerometer monitoring system for evaluating behavior patterns in cattle." Thesis, Kansas State University, 2010. http://hdl.handle.net/2097/4144.

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Master of Science Department of Clinical Sciences Robert L. Larson Bradley J. White We performed research that investigated the ability of three dimensional accelerometers to classify cattle behavior and also describe the circadian patterns within that behavior. The first of three studies (validation study) tested a decision tree classification system and its ability to describe behaviors of lying, standing, and walking. Classification accuracies for lying, standing, and walking behaviors were 99.2%, 98.0%, and 67.8% respectively, with walking behavior having significantly lower

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Singh, Rohitpal. "An Approach for Deliberate Non-Compliance Detection during Opioid Abuse Surveillance by a Wearable Biosensor." Digital WPI, 2018. https://digitalcommons.wpi.edu/etd-theses/1260.

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Wearable sensors can be used to monitor opioid use and other key behaviors of interest, and to prompt interventions that promote behavioral change. The effectiveness of such systems is threatened by the potential of a subject's deliberate non-compliance (DNC) to the monitoring. We define deliberate non-compliance as the process of giving one's device to someone else when surveillance is on-going. The principal aim of this thesis is to develop an approach to leverage movement and cardiac features from a wearable sensor to detect such deliberate non-compliance by individuals under surveillance f

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Zhuang, Yuwen. "Metric Based Automatic Event Segmentation and Network Properties Of Experience Graphs." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1337372416.

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Silva, Anderson Braulio Nobrega da. "Um modelo de unidade de medida inercial utilizando tr?s aceler?metros triaxiais." Universidade Federal do Rio Grande do Norte, 2013. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15500.

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Made available in DSpace on 2014-12-17T14:56:18Z (GMT). No. of bitstreams: 1 AndersonBNS_DISSERT.pdf: 1465627 bytes, checksum: c03d80fd5309916ed15fcc6c0a45c8a8 (MD5) Previous issue date: 2013-10-07 No espa?o tridimensional, um corpo r?gido qualquer pode efetuar transla??es e ou rota??es em rela??o a cada um de seus eixos. Identificar com precis?o o deslocamento realizado por um corpo ? fundamental para alguns tipos de sistemas em engenharia. Em sistemas de navega??o inercial tradicionais, utilizam-se aceler?metros para reconhecer a acelera??o linear e girosc?pios para recon

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Yu-JhenHo and 何域禎. "Walking pattern classification and distance estimation using a triaxial accelerometer." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/21110955701208725261.

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Wang, Wei-Kai, and 王煒剴. "Design and Evaluation of Tilt-meter Based on Digital Triaxial Accelerometer." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/80812499264348292936.

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碩士 國立臺灣科技大學 營建工程系 102 During construction phase of engineering projects, monitoring system must be set up to monitor surroundings and adjacent structures. This system ensures their serviceability and safety are not affected by engineering activities. Automated monitoring systems that are correctly set up is proven to be effective to achieve the above mentioned goal. They can be used to setup alarm before accident occurs, and they can provide information for remedial measures after accident occurs. In this research, a prototype tilt-meter based on high-resolution digital triaxial

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Libri sul tema "Triaxial accelerometer"

Thomas, John E. Space acceleration measurement system triaxial sensor head error budget. [Washington, DC]: National Aeronautics and Space Administration, 1992.

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Capitoli di libri sul tema "Triaxial accelerometer"

Kojima, Hisashi, Chika Oshima, and Koichi Nakayama. "Drowsy Bather Detection Using a Triaxial Accelerometer." In Lecture Notes in Computer Science, 457–68. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50017-7_34.

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Dodson, Jacob C., Lashaun Watkins, Jason R. Foley, and Alain Beliveau. "Comparative Analysis of Triaxial Shock Accelerometer Output." In Structural Dynamics, Volume 3, 1529–36. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9834-7_137.

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Kuncar, Ales, Martin Sysel, and Tomas Urbanek. "Calibration of Triaxial Accelerometer and Triaxial Magnetometer for Tilt Compensated Electronic Compass." In Automation Control Theory Perspectives in Intelligent Systems, 45–52. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33389-2_5.

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Mauceri, Stefano, Louis Smith, James Sweeney, and James McDermott. "Subject Recognition Using Wrist-Worn Triaxial Accelerometer Data." In Lecture Notes in Computer Science, 574–85. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-72926-8_48.

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Petzsche, Thomas, Andy Cook, and Marine Dumont. "Triaxial Accelerometer, High Frequency Measurement and Temperature Stability Considerations." In Special Topics in Structural Dynamics, Volume 6, 333–40. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04729-4_28.

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Bassetti, M., F. Braghin, G. Cazzulani, and F. Castelli-Dezza. "Triaxial Multi-range MEMS Accelerometer Nodes for Railways Applications." In Special Topics in Structural Dynamics, Volume 6, 463–71. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6546-1_50.

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Ranakoti, Shubham, Shagneet Arora, Shweta Chaudhary, Shakun Beetan, Amtoj Singh Sandhu, Padmavati Khandnor, and Poonam Saini. "Human Fall Detection System over IMU Sensors Using Triaxial Accelerometer." In Computational Intelligence: Theories, Applications and Future Directions - Volume I, 495–507. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1132-1_39.

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Bernal-Polo, P., and H. Martínez-Barberá. "Triaxial Sensor Calibration: A Prototype for Accelerometer and Gyroscope Calibration." In ROBOT 2017: Third Iberian Robotics Conference, 79–90. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70836-2_7.

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Villaverde, Armando Collado, María D. R-Moreno, David F. Barrero, and Daniel Rodriguez. "Triaxial Accelerometer Located on the Wrist for Elderly People’s Fall Detection." In Lecture Notes in Computer Science, 523–32. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46257-8_56.

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Rodríguez-Martín, Daniel, Albert Samà, Carlos Pérez-López, and Andreu Català. "Posture Transitions Identification Based on a Triaxial Accelerometer and a Barometer Sensor." In Advances in Computational Intelligence, 333–43. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59147-6_29.

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Atti di convegni sul tema "Triaxial accelerometer"

Tumer, Irem Y., and Edward M. Huff. "Using Triaxial Accelerometer Data for Vibration Monitoring of Helicopter Gearboxes." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/vib-21755.

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Abstract Typical vibration monitoring systems for helicopter gearboxes rely on single-axis accelerometer data. This paper investigates whether triaxial accelerometers can provide crucial flight regime information for helicopter gearbox monitoring systems. The frequency content of the three different directions is compared and analyzed using time-synchronously averaged vibration data. The triaxial data are decorrelated using a mathematical transformation, and compared to the original axes to determine their optimality. The benefits of using triaxial data for vibration monitoring and diagnostics

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Ali, Manzoor, Muhammad Shafi, Umar Farooq, and Atta ur Rehman Khan. "Salat Activity Recognition using Smartphone Triaxial Accelerometer." In 2018 5th International Multi-Topic ICT Conference (IMTIC). IEEE, 2018. http://dx.doi.org/10.1109/imtic.2018.8467241.

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Ye, Lin, Steven W. Su, Dong Lei, and Hung T. Nguyen. "An online recursive autocalibration of triaxial accelerometer." In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2016. http://dx.doi.org/10.1109/embc.2016.7591127.

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Yang, Bo, Bo Dai, Hui Zhao, and Xiaojun Liu. "A new silicon triaxial resonant micro-accelerometer." In 2014 International Conference on Information Science, Electronics and Electrical Engineering (ISEEE). IEEE, 2014. http://dx.doi.org/10.1109/infoseee.2014.6947878.

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He, Xu, Zhenhai Zhang, Kejie Li, Ran Lin, Liang Zhang, and Zhiqing Li. "Research of Combined Triaxial High-g Accelerometer." In 2013 6th International Symposium on Computational Intelligence and Design (ISCID). IEEE, 2013. http://dx.doi.org/10.1109/iscid.2013.160.

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"EXERCISE RATE ESTIMATION USING A TRIAXIAL ACCELEROMETER." In International Conference on Bio-inspired Systems and Signal Processing. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0001776605350538.

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Wang, Yan, Jinbiao Fan, Peng Xu, Jing Zu, and Zhijie Zhang. "Shock Calibration of the High-g Triaxial Accelerometer." In 2008 IEEE Instrumentation and Measurement Technology Conference - I2MTC 2008. IEEE, 2008. http://dx.doi.org/10.1109/imtc.2008.4547135.

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Poorani, M., V. Vaidehi, and P. Varalakshmi. "Performance analysis of triaxial accelerometer for activity recognition." In 2016 Eighth International Conference on Advanced Computing (ICoAC). IEEE, 2017. http://dx.doi.org/10.1109/icoac.2017.7951764.

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Dong, Peitao, Xuezhong Wu, and Shengyi Li. "A High-Performance Monolithic Triaxial High-G Accelerometer." In 2007 IEEE Sensors. IEEE, 2007. http://dx.doi.org/10.1109/icsens.2007.4388513.

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Lu, Xin, and Zhong Liu. "IEKF-based Self-Calibration Algorithm for Triaxial Accelerometer." In 2016 3rd International Conference on Information Science and Control Engineering (ICISCE). IEEE, 2016. http://dx.doi.org/10.1109/icisce.2016.213.

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