An integrated accelerometer for dynamic motion systems

Lu, Yu; Wang, Hsuan Wen; Liu, Sheng Hao

doi:10.1016/j.measurement.2018.05.019

Cited by 28 publications

(11 citation statements)

References 14 publications

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“…Only two of the reviewed articles seem to have a rehabilitation approach, although many other designs included in the review can be used in rehabilitation [ 6 , 118 , 119 ]. However, advances in inertial sensor technology have been critical in assisting in the rehabilitation processes of other physical disabilities such as orthopedic [ 7 , 120 , 121 , 122 , 123 , 124 , 125 ]; no further developments have been found to have the specific approach of this important stage in the life of a visually impaired person, even though the importance of this stage has been proven [ 117 , 126 ]. Since the loss of vision leads to functional disabilities and restrains the participation in everyday activities, it limits the individual’s autonomy and QoL [ 127 ].…”

Section: Discussionmentioning

confidence: 99%

Inertial Measurement Unit Sensors in Assistive Technologies for Visually Impaired People, a Review

Leiva

Jaén-Vargas

Codina

et al. 2021

Sensors

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A diverse array of assistive technologies have been developed to help Visually Impaired People (VIP) face many basic daily autonomy challenges. Inertial measurement unit sensors, on the other hand, have been used for navigation, guidance, and localization but especially for full body motion tracking due to their low cost and miniaturization, which have allowed the estimation of kinematic parameters and biomechanical analysis for different field of applications. The aim of this work was to present a comprehensive approach of assistive technologies for VIP that include inertial sensors as input, producing results on the comprehension of technical characteristics of the inertial sensors, the methodologies applied, and their specific role in each developed system. The results show that there are just a few inertial sensor-based systems. However, these sensors provide essential information when combined with optical sensors and radio signals for navigation and special application fields. The discussion includes new avenues of research, missing elements, and usability analysis, since a limitation evidenced in the selected articles is the lack of user-centered designs. Finally, regarding application fields, it has been highlighted that a gap exists in the literature regarding aids for rehabilitation and biomechanical analysis of VIP. Most of the findings are focused on navigation and obstacle detection, and this should be considered for future applications.

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Section: Discussionmentioning

confidence: 99%

Inertial Measurement Unit Sensors in Assistive Technologies for Visually Impaired People, a Review

Leiva

Jaén-Vargas

Codina

et al. 2021

Sensors

View full text Add to dashboard Cite

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“…Also studies in some piezoelectric accelerometer have shown a noise spectral density that increases with decreasing frequency. In contrast, MEMS accelerometers are less expensive and they exhibit a good response at low frequencies, but they have a smaller bandwidth and present higher noise levels [24] [25].…”

Section: B Signal Acquisitionmentioning

confidence: 99%

Metrological Advantages of Applying Vibration Analysis to Pipelines: A Review

et al. 2021

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Flow rate is a necessary variable in industrial processes and, therefore, there is a wide variety of instruments designed to measure it. However, the most accepted measuring devices have the problem of being invasive or intrusive. The scientific and technological challenge is to achieve measurement by exploiting all the phenomenological possibilities using a non-intrusive, easy-to-install, portable and low-cost mechanism. This paper presents a literature review on the use of vibration analysis in flow rate metrological systems in order to identify research opportunities for the indirect measurement of this magnitude. A promising line of work was found based on soft flow rate sensors that use the analysis of pipeline vibrations integrated into computational intelligence routines, which allows inference of the flow rate value. The findings promote to continue with new technical and scientific challenges.

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“…A typical experimental setup for structural damage detection or condition monitoring using machine learning is shown in Fig.1 (a). Usually, piezoelectric accelerometer sensors are used to measure vibrations in form of acceleration in the case of rotating machines (gearbox) as accelerometers are easy to mount, they have low noise output, they have a wide frequency range and dynamic range and do not have any moving parts meaning the measurements are reliable [8]. Nowadays, modern wireless microelectromechanical (MEMS) accelerometers provide additional advantages of small size and mass with no extensive electrical cabling, which is perfectly suited for fault monitoring of light and sensitive machines and structures [9].…”

Section: Fault Discrimination Strategymentioning

confidence: 99%

Review on time-frequency-based machine learning for structural damage assessment and condition monitoring

Janeliukštis

2019

Engineering for Rural Development

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Safe operation of complex structures and machines cannot be achieved by visual inspections alone. Thus, simple, efficient and cost-effective inspection methods are of paramount importance. This review article is aimed at providing an insight into approaches of health monitoring and condition monitoring of structures and machines based on machine learning. Machine learning is an approach of using data to construct predictive models giving predictions of existing and future trends. In the case of structural health monitoring and condition monitoring of machinery, it is able to detect damage and distinguish between different damage types and severities, thus being able to provide early warnings of failure of structural and machinery components. In this review paper, the focus is on information obtained from time-frequency features, which provides an advantage with respect to features in time domain and frequency domain of tracking changes of structural integrity in time, which is especially useful in dealing with non-stationary signals. Details of damage-sensitive feature extraction, data analysis and decision making are provided.

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An integrated accelerometer for dynamic motion systems

Cited by 28 publications

References 14 publications

Inertial Measurement Unit Sensors in Assistive Technologies for Visually Impaired People, a Review

Inertial Measurement Unit Sensors in Assistive Technologies for Visually Impaired People, a Review

Metrological Advantages of Applying Vibration Analysis to Pipelines: A Review

Review on time-frequency-based machine learning for structural damage assessment and condition monitoring

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