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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 of magnitude, and angle of triaxial accelerometer signal features. Our proposed activity recognition method recognized ten activities with an average accuracy of 95.6% using only a single triaxial accelerometer.

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Bolton, Samantha, Nick Cave, Naomi Cogger e G. R. Colborne. "Use of a Collar-Mounted Triaxial Accelerometer to Predict Speed and Gait in Dogs". Animals 11, n. 5 (27 aprile 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 speed and gait. Mixed linear and logistic regression models that included delta-G and a term accounting for the dogs’ skeletal sizes were used to predict speed and gait, respectively, from the accelerometer signal. Gait could be categorised (pseudo-R2 = 0.87) into binary categories of walking and faster (trot or canter), but not into the separate faster gaits. The estimation of speed above 3 m/s was inaccurate, though it is not clear whether that inaccuracy was due to the sampling frequency of the particular device, or whether that is an inherent limitation of collar-mounted accelerometers in dogs. Thus, collar-mounted accelerometry can reliably categorise dogs’ gaits into two categories, but finer gait descriptions or speed estimates require individual dog modelling and validation. Nonetheless, this accelerometry method could improve the use of accelerometry to detect treatment effects in osteoarthritis by allowing the selection of periods of activity that are most affected by treatment.

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Scheeper, Patrick, Jens Ole Gulløv e Lars Munch Kofoed. "A piezoelectric triaxial accelerometer". Journal of Micromechanics and Microengineering 6, n. 1 (1 marzo 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 e Srinath Kamineni. "Assessment of Accelerometers for Measuring Upper-Extremity Physical Activity". Journal of Sport Rehabilitation 24, n. 3 (agosto 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 ± 0.09 m volunteered.Intervention:Participants performed 3 series of tasks: activities of daily living (ADLs), rehabilitation exercises, and passive shoulder range of motion at 5 specific velocities on an isokinetic dynamometer while wearing an accelerometer on each wrist. Participants performed exercises with their dominant arm to examine differences between sides. A researcher visually counted all arm motions to correlate counts with physical activity counts provided by the accelerometer.Main Outcome Measure:Physical activity counts derived from the accelerometer and visually observed activity counts recorded from a single investigator.Results:There was a strong positive correlation (r = .93, P < .01) between accelerometer physical activity counts and visual activity counts for all ADLs. Accelerometers activity counts demonstrated side-to-side difference for all ADLs (P < .001) and 5 of the 7 rehabilitation activities (P < .003). All velocities tested on the isokinetic dynamometer were shown to be significantly different from each other (P < .001).Conclusion:There is a linear relationship between arm motions counted visually and the physical activity counts generated by an accelerometer, indicating that arm motions could be potentially accounted for if monitoring arm usage. The accelerometers can detect differences in relatively slow arm-movement velocities, which is critical if attempting to evaluate exercise compliance during early phases of shoulder rehabilitation. These results provide fundamental information that indicates that triaxial accelerometers have the potential to objectively monitor and measure arm activities during rehabilitation and ADLs.

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Yuan, Bo, Zhifeng Tang, Pengfei Zhang e Fuzai Lv. "Thermal Calibration of Triaxial Accelerometer for Tilt Measurement". Sensors 23, n. 4 (13 febbraio 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 based on the least squares method, which is necessary for environments with large temperature variations, since calibration parameters change at different temperatures. The calibration procedures and algorithms were experimentally validated on marketed accelerometers. Based on the optimized calibration method, the calibrated results achieved nearly 100 times improvement. Thermal drift calibration experiments on the triaxial accelerometer show that the thermal compensation scheme in this paper can effectively reduce drift in the temperature range of −40 °C to 60 °C. The temperature drifts of x- and y-axes are reduced from −13.2 and 11.8 mg to −0.9 and −1.1 mg, respectively. The z-axis temperature drift is reduced from −17.9 to 1.8 mg. We have conducted various experiments on the proposed calibration method and demonstrated its capacity to calibrate the sensor frame error model (SFEM) parameters. This research proposes a new low-cost and efficient strategy for increasing the practical applicability of triaxial accelerometers.

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de Graauw, Suzanne M., Janke F. de Groot, Marco van Brussel, Marjolein F. Streur e 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 of a maximum 10 points). Prediction models combining heart rate and counts explained 86–91% of the variance in measured AEE. A prediction model based on a triaxial accelerometer explained 90%. Models derived during free-living explained up to 45%.Conclusions. Accelerometry-based prediction models may provide an accurate estimate of AEE in children on a group level. Best results are retrieved when the model combines accelerometer counts with heart rate or when a triaxial accelerometer is used. Future development of AEE prediction models applicable to free-living scenarios is needed.

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Gao, Yanbin, Lianwu Guan e 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 eliminated the demerits (lack of using artificial fishes’ previous experiences, lack of existing balance between exploration and exploitation, and high computational cost) of AFSA is introduced at first. In NAFSA, functional behaviors and overall procedure of AFSA have been improved with some parameters variations. Second, a hybrid accelerometer error coefficients identification algorithm has been proposed based on NAFSA and Monte Carlo simulation (MCS) approaches. This combination leads to maximum utilization of the involved approaches for triaxial accelerometer error coefficients identification. Furthermore, the NAFSA-identified coefficients are testified with 24-position verification experiment and triaxial accelerometer-based SINS navigation experiment. The priorities of MCS-NAFSA are compared with that of conventional calibration method and optimal AFSA. Finally, both experiments results demonstrate high efficiency of MCS-NAFSA on triaxial accelerometer error coefficients identification.

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Микола Григорович Черняк, Владислав Володимирович Рибак e Віктор Анатолійович Палюшок. "Calibration with specified accuracy of triaxial block of navigation accelerometers on the uniaxial rotary stand." MECHANICS OF GYROSCOPIC SYSTEMS, n. 28 (1 aprile 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 mathematical errors model of calibration, and the quality criterion of calibration of triaxial block of navigation accelerometers unit, were obtained inequality that used to determine requirements for accuracy characteristics bench equipment, on which the calibration is performed. These requirements ensure the calibration of triaxial block of navigation accelerometers on the uniaxial rotary stand with preset accuracy.Experimental verification was conducted on comparable accuracy errors existing equipment and the requirements to this equipment , confirm the adequacy of the obtained inequalities.As the result of research were identified the most influential sources of instrumental errors, and provided recommendations to reduce their impacts.

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Sun, Yifan, e Xiang Xu. "Calibration of MEMS Triaxial Accelerometers Based on the Maximum Likelihood Estimation Method". Mathematical Problems in Engineering 2020 (21 settembre 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. The calibration parameters are obtained by the Newton iteration method, which is more efficient and accurate. Compared with the least square method, which estimates the parameters of the suboptimal estimation function established under the condition of assuming that the mean of the random noise is zero, the parameters calibrated by the maximum likelihood estimation method are more accurate and stable. Moreover, the proposed method has low computation, which is more functional. Simulation and experimental results using the consumer low-cost MEMS triaxial accelerometer are presented to support the abovementioned superiorities of the maximum likelihood estimation method. The proposed method has the potential to be applied to other triaxial inertial sensors.

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Hyyti, Heikki, e Arto Visala. "A DCM Based Attitude Estimation Algorithm for Low-Cost MEMS IMUs". International Journal of Navigation and Observation 2015 (30 novembre 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 implemented to estimate attitude in direction cosine matrix (DCM) formation and to calibrate gyroscope biases online. We use a variable measurement covariance for acceleration measurements to ensure robustness against temporary nongravitational accelerations, which usually induce errors when estimating attitude with ordinary algorithms. The proposed algorithm enables accurate gyroscope online calibration by using only a triaxial gyroscope and accelerometer. It outperforms comparable state-of-the-art algorithms in those cases when there are either biases in the gyroscope measurements or large temporary nongravitational accelerations present. A low-cost, temperature-based calibration method is also discussed for initially calibrating gyroscope and acceleration sensors. An open source implementation of the algorithm is also available.

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Più fonti

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 pelo uso da luz, tais como sua capacidade de multiplexação, boa relação sinal/ruído, medições a longas distâncias, imunidade a campos eletromagnéticos, ausência de faísca, entre outras. Neste trabalho buscou-se desenvolver um transdutor e uma técnica de medição baseada em sensores a rede de Bragg para medição de vibrações mecânicas. Um acelerômetro óptico triaxial é projetado e construído. Diferentes modelos foram testados em busca das características de desempenho desejadas. Simulações numéricas empregando o método dos elementos finitos auxiliaram na decisão por melhores desenhos para o transdutor. Resultados de testes experimentais e calibrações empregando um sistema de aquisição de sinais desenvolvido são mostrados. Medições de longa duração para avaliação de estabilidade do sistema e efeitos de temperatura também são apresentados.
Since the end of the 1980s, the fiber optics industry has experienced considerable advances. Through a number of controlled techniques, fiber optics can generate signals associated with a vast array of physical measures, working as sensors denominated Optical Fiber Sensors (OFS s). Many different techniques can be employed to achieve this objective. Among these, the one based on Bragg networks has received the greatest amount of attention. The interest in transducers employing this technique is justified by the advantages of using light, such as its multiplexing capability, good signal-to-noise ratio, possibility of long distance measurements, immunity to electromagnetic fields, and absence of sparks. In the present work, a transducer and measurement technique based on Bragg network sensors vibration are developed, in order to measure mechanical vibrations. A triaxial optical accelerometer is designed and built. Different models are tested in the search for the desired performance characteristics. Numerical simulations employing the finite element method help the decision making process for better transducer designs. Results from experimental and calibration tests using a newly developed signal acquisition system are presented. Long duration measurements to evaluate system stability and temperature effects are also shown.

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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 activities. A classification framework for movement identification using the signals from a waist-mounted TA is presented. This framework is based on a hierarchical binary processing tree and is designed for real time use. An implementation of this framework for monitoring housebound patients is presented. Algorithms for detecting falls, distinguishing between activity and rest, classifiying transitions between different postural orientations, and for identifying periods of standing, sitting, lying and walking are developed. In evaluation studies performed in controlled laboratory conditions, every algorithm performed with better than 90% accuracy. Once movements are identified, movement-specific parameters sensitive to changes in functional status are extracted from the signal. A two stage methodology for employing the accelerometry system in monitoring free-living subjects is introduced. The first stage involved monitoring specific movements through a directed routine. The second stage involved monitoring of free movement. Signals obtained from the directed routine are used to extract clinically relevant, movement-specific parameters. Signals obtained from the period of free movement are monitored for falls and other abnormal events. General parameters of movement, including energy expenditure, are also measured. The system was evaluated in a series of field studies in laboratory and home environments, in supervised and unsupervised settings, using cohorts of healthy subjects. A pilot trial was conducted in which six healthy elderly subjects wore the TA device for a period of up to three months. The technical performance and useability of the system were evaluated. Clinically significant parameters were measured and the effects of age and health status on the measured parameters were evaluated.

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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 ensure the device or devices are properly calibrated. In the construction of an effective calibration program, it is necessary to measure and zero out even minor discrepancies, as even small misalignments have deleterious effects on device performance.
Bachelors
Engineering and Computer Science
Computer Engineering

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Peregino, Philip J. II, e 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 disadvantages of the model 7270A is its physical size, in the era of die level and surface mount components, the 7270A is relatively large. The sensing element is packaged inside a metal case with screw holes for mounting to a rigid surface. In addition, there are wires protruding from the case for electrical connections. In the area of munitions, small cavities don’t always afford the room for a large gauge. It was desirable to repackage the die in a smaller container and make it a surface mount component for a printed circuit board. A contract was developed for Endevco to repackage the die and to develop a tri-axial version with the repackaged die. The newly developed accelerometers were tested and evaluated by the U.S. Army Research Laboratory.

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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 accuracy (P<0.01). This study also tested the accuracy of classifying the above behaviors using different device reporting intervals, or epochs. Reporting intervals of 3, 5, and 10 seconds (s) were evaluated in their ability to describe cattle behaviors of lying, standing, and walking. Classification accuracies for the 3s, 5s, and 10s reporting interval were 98.1%, 97.7%, and 85.4% respectively, with no difference in classification accuracy of the 3s and 5s epochs (P=0.73) while the 10s epoch exhibited significantly lower overall accuracy (P<0.01). This validated accelerometer monitoring system was then implemented in two studies (Winter 2007 and Spring 2008) where the devices were used to describe behavior patterns of beef calves in a drylot production setting. Lying behavior of the cattle was analyzed and found to be significantly associated (P<0.001) with hour of the day. Calves in these studies spent most (> 55%) of the nighttime hours (2000 to 0400) involved in lying behavior and spent the least percentage of time lying (<30%) during periods of time where feed was presented at the bunk (0700 and 1700). Mean lying time was also associated with trial day (P<0.01) and most trial days (67.5%) calves spending between 45% and 55% of time lying. Variation of lying behavior was found between individuals (range 29% to 66%); however, consistency in lying behavior was found within individual calves across study periods. The accelerometer monitoring system studies presented here provide evidence these devices have utility in recording behaviors (lying, standing, and walking) of individual beef calves raised in typical production settings.

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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 for opioid use. Data from 11 participants who presented to the Emergency Department following an opioid overdose was analyzed. Using a personalized machine learning classifier (model), we evaluated if a snippet of blood volume pulse (BVP) and accelerometer data received is coming from the expected participant or an alternate person. Analysis of our classier shows the viability of this approach, as we were able to detect DNC (or compliance) with over 90% accuracy within 3 seconds of its occurrence.

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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 reconhecer a velocidade angular registrada durante o deslocamento. O girosc?pio, entretanto, ? um dispositivo de custo mais elevado e com alto consumo de energia quando comparado a um aceler?metro. Essa desvantagem deu origem a pesquisas a respeito de sistemas e unidades de medidas inerciais que n?o utilizam girosc?pios. A ideia de utilizar apenas aceler?metros para calcular o movimento linear e angular surgiu no in?cio da d?cada de 60 e vem se desenvolvendo atrav?s de modelos que variam no n?mero de sensores, na maneira como estes s?o organizados e no modelo matem?tico que ? utilizado para derivar o movimento do corpo. Esse trabalho prop?e um esquema de configura??o para constru??o de uma unidade de medida inercial que utiliza tr?s aceler?metros triaxiais. Para identificar o deslocamento de um corpo r?gido a partir deste esquema, foi utilizado um modelo matem?tico que utiliza apenas os nove sinais de acelera??o extra?dos dos tr?s sensores. A proposta sugere que os sensores sejam montados e distribu?dos em formato de L . Essa disposi??o permite a utiliza??o de um ?nico plano do sistema de coordenadas, facilitando assim a instala??o e configura??o destes dispositivos e possibilitando a implanta??o dos sensores em uma ?nica placa de circuito integrado. Os resultados encontrados a partir das simula??es iniciais demonstram a viabilidade da utiliza??o do esquema de configura??o proposto

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Yu-JhenHo e 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, e 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 accelerometer is developed. The device integrates a micro controller unit (MCU). The MCU reads digital output from accelerometer and converts it into tilt angle. The design selects carefully accelerometer, MCU, power management ICs to achieve low power consumption. In addition to the developed prototype device, this research also considers how to calibrate internal parameters in order to correctly measure tilt. How temperature affects readings from accelerometers is also discussed. A procedure to compensate thermal drift observed is proposed. This compensation is necessary to avoid false alarm from the built tilt-meter. The developed tilt-meter can effectively reduce labor cost and construct automated monitoring system cost effectively. It enables constructors know about how the surrounding reacts to the engineering activities, thus increases site safety, and avoid possible human life loss caused by construction site incidents.

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Più fonti

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 e 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 e 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 e 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 e 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 e 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 e 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 e 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., e 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 e 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 e 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., e 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 are explored by analyzing the changes in the direction of the principal axis of vibration formed using all three axes of vibration. The statistical variation introduced due to the experimental variables is further analyzed using an Analysis of Variance approach to determine the effect of each variable on the overall signature. The results indicate that triaxial accelerometers can provide additional information about the frequency content of helicopter gearbox vibrations, providing researchers and industry with a novel method of capturing and monitoring changes in the baseline vibration signatures.

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Ali, Manzoor, Muhammad Shafi, Umar Farooq e 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 e 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 e 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 e 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 e 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 e 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 e 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, e 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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