A single-mass self-resonating closed-loop capacitive MEMS accelerometer

Kose, Talha; Terzioğlu, Yunus; Azgın, Kıvanç; Akın, Tayfun

doi:10.1109/icsens.2016.7808711

Cited by 13 publications

(5 citation statements)

References 4 publications

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“…The accelerometer behaviour can be assimilated to a displaced mass on a string, whereupon movement, it experiences a change in status, and the corresponding acceleration is estimated by the displacement of the string [14]. In the commercial market, piezoresistive, piezoelectric, and capacitive components are used to convert the mechanical displacement into an electric voltage [15].…”

Section: Wearable Sensors: Basic Informationmentioning

confidence: 99%

Multimodal sensing for assisted living using radar

Shrestha

Fioranelli

et al. 2020

Micro-Doppler Radar and Its Applications

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In nature, information from the various senses is utilised by intelligent beings for identification, recognition and decision. It is easier to identify an object or a threat by mixing the auditory, visual and tactile information, than when only one of the senses are used. Combining separate sources of information, which include different types of data, provides the variety needed for cognition and improved situational awareness. This is the rationale behind sensor fusion [1].For deployment in real-world healthcare facilities, either in private homes or in hospital and care homes, activity-monitoring systems with a single sensor may not deliver the necessary robust performance requirements. Radar sensing is an emerging approach in the field of assisted living applications [2,3], but limitations in identifying precise movements, especially at unfavourable aspect angles, and a narrow area of detection, mean further co-operative sensing methods are required for a robust system for detection of movements and falls. Sensor fusion is, therefore, one method of mitigating this issue. This chapter will explore the different sensor and fusion topologies, using active radar sensing in conjunction with other sensing technologies as support for assisted living and healthcare applications [2]. Initially, the sensors and their outputs will be described, with specifics of signal processing of the different sensors and the machine learning for classification detailed. The results of applying these methods to the assisted living scenario will then be presented.This chapter will give insight into activity classification with radar and additional sensing technologies, in particular, wearable inertial and magnetic sensors, focusing on the key information fusion approaches and main improvements using experimental data as validation.

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Section: Wearable Sensors: Basic Informationmentioning

confidence: 99%

Multimodal sensing for assisted living using radar

Shrestha

Fioranelli

et al. 2020

Micro-Doppler Radar and Its Applications

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“…This work focuses on the first type of sensor with three terminals. They are used, in the case of DCS, for measuring linear displacement and pressure differences [6], and for determining angular position [7,8] and acceleration [9,10]. DRSs are used in applications such as environmental monitoring [11], speed measurement [12], to sense linear or angular position displacement [13], and in rehabilitation devices [14].…”

Section: Introductionmentioning

confidence: 99%

A simple digital readout circuit for differential resistive or capacitive sensors

Hidalgo-López

2023

Meas. Sci. Technol.

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This paper introduces and analyses a novel direct interface circuit (DIC) that directly connects differential resistive and capacitive sensors to digital processors (DPs), performing a magnitude-to-time-to-digital conversion of the information they provide. The simple circuit performs the readout using two passive components, the differential sensor, and the DP. In some cases, the circuit may require an additional passive element. The DP only uses common digital resources such as bidirectional pins or a counter, meaning microcontrollers, FPGAs, or ASICs could all be used as DPs. Different DICs proposed in the literature for reading differential sensors require three time measurement processes to estimate the variable to be measured. The new circuit requires only one, saving time and energy dissipation, and reducing the number of error sources. A design based on an FPGA has been implemented as a proof of concept. Measurement times in the order of 1.1–1.3 ms have been obtained with this configuration. Errors in the readout of a differential resistive sensor are below 0.34% in the worst case and below 0.63% for a differential capacitive sensor.

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“…Several works were conducted in order to improve the physical characteristics and the performances of the capacitive sensor [3][4][5][6][7][8]. In this work, the modeling of the capacitive detection sensor aims to extract the formulas for acceleration and measurement error.…”

Section: Introductionmentioning

confidence: 99%

Capacitive Sensor Accuracy Optimisation by the Frequency Range Appropriate Choice

Ghemari

Belkhiri

2021

Preprint

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Measuring rotating machine vibrations requires an electronic instrument called a vibration sensor. In this work, the vibration sensor with capacitive detection is chosen to measure the vibrations movement. In order to fulfill the objectives of reducing the measurement error and achieving high sensor accuracy, this sensor is modeled by the application of motion law. The results obtained by the developed model simulation showed that it was possible to extract a formula linked to relative frequency of the vibrating structure and to the capacitive sensor natural frequency, this makes it possible to reduce the measurement error and improve the capacitive sensor accuracy

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A single-mass self-resonating closed-loop capacitive MEMS accelerometer

Cited by 13 publications

References 4 publications

Multimodal sensing for assisted living using radar

Multimodal sensing for assisted living using radar

A simple digital readout circuit for differential resistive or capacitive sensors

Capacitive Sensor Accuracy Optimisation by the Frequency Range Appropriate Choice

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