MEMS technologies

Kempe, Volker

doi:10.1017/cbo9780511933899.006

Cited by 15 publications

(20 citation statements)

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“…The smartphone accelerometers and gyros are MicroElectrical-Micro-Mechanical (MEMS) based sensors. Loosely speaking, the basic working principle of a MEMS accelerometer is described using a proof mass [4], [10]. Consider, a proof mass which is free to move with respect to the accelerometer case along the accelerometer's sensitive axis, restrained by springs.…”

Section: Smartphone Sensorsmentioning

confidence: 99%

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Smartphone Motion Mode Recognition

Klein

Solaz

2017

The 4th International Electronic Conference on Sensors and Applications

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Section: Smartphone Sensorsmentioning

confidence: 99%

“…MEMS gyros working principle can be described using a vibratory beam [4], [10]. Consider, a vibratory beam element that is driven to undergo simple harmonic motion.…”

Section: Smartphone Sensorsmentioning

confidence: 99%

Smartphone Motion Mode Recognition

Klein

Solaz

2017

The 4th International Electronic Conference on Sensors and Applications

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“…Gyroscope g-dependent error is when a gyroscope is sensitive to specific force. There are other higher-order errors such as sensor nonlinearity, about which there is more information in [1,15,16].…”

Section: Inertial Measurement Units and Their Errorsmentioning

confidence: 99%

The Limits of In-Run Calibration of MEMS Inertial Sensors and Sensor Arrays

2016

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“…Micro-electro-mechanical systems (MEMS) technology has enabled low-cost (albeit lowperformance) inertial sensors [48], while high-precision inertial sensing has been demonstrated in the laboratory using cold3 meters at any location with a very high reliability. No single positioning technology is capable of meeting the most demanding application requirements.…”

Section: Introductionmentioning

confidence: 99%

The four key challenges of advanced multisensor navigation and positioning

Groves

Wang

Walter

et al. 2014

2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014

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Abstract-The next generation of navigation and positioning systems must provide greater accuracy and reliability in a range of challenging environments to meet the needs of a variety of mission-critical applications. No single navigation technology is robust enough to meet these requirements on its own, so a multisensor solution is required. Although many new navigation and positioning methods have been developed in recent years, little has been done to bring them together into a robust, reliable, and cost-effective integrated system. To achieve this, four key challenges must be met: complexity, context, ambiguity, and environmental data handling. This paper addresses each of these challenges. It describes the problems, discusses possible approaches, and proposes a program of research and standardization activities to solve them. The discussion is illustrated with results from research into urban GNSS positioning, GNSS shadow matching, environmental feature matching, and context detection.

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MEMS technologies

Cited by 15 publications

References 0 publications

Smartphone Motion Mode Recognition

Smartphone Motion Mode Recognition

The Limits of In-Run Calibration of MEMS Inertial Sensors and Sensor Arrays

The four key challenges of advanced multisensor navigation and positioning

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