“…To eliminate the preload effect, we introduce a correction factor α. The relationship between the detected force F and the calibration force F ' can be presented as (10):…”
Section: B Preload Elimination Methodsmentioning
confidence: 99%
“…Conventional touch interfaces locate users' touch points by capacitive and resistive means [7] [8]. However, along with development of electric and information technologies, recognizing force amplitude is craved in plenty of scenarios since the highly efficient Human-Machine Interactivity (HMI) is essential for many applications such as fine haptic feedback [9] [10]. The detection of force amplitude can make the interactivity between Apps and users close to reality and help developers exploit various functions based on different force levels.…”
Piezoelectric touch sensing in interactive
displays gains increasing attentions due to its high force detection
sensitivity and intrinsic mechanical-to-electrical conversion ability. However,
the instable force-voltage responsivity induced by preload effect of
piezoelectric materials reduces the force detection accuracy of secondary force
touches, which is important to touch and haptic applications such as peek-pop. To address this issue,
in this article, we present a preload effect elimination technique, in which
the relationship between the piezoelectric coefficients and static preload is
studied first, and then the detected secondary force touch is calibrated by
using the previously applied static force information. Experimental results
demonstrate that the force detection accuracy is boosted by 15.17% after applying
the developed technique to secondary force touches with different preload
values, potentially allowing the system to precisely interpret secondary force
touch amplitude and hence enhancing the development of touch sensing in
interactive displays.
“…To eliminate the preload effect, we introduce a correction factor α. The relationship between the detected force F and the calibration force F ' can be presented as (10):…”
Section: B Preload Elimination Methodsmentioning
confidence: 99%
“…Conventional touch interfaces locate users' touch points by capacitive and resistive means [7] [8]. However, along with development of electric and information technologies, recognizing force amplitude is craved in plenty of scenarios since the highly efficient Human-Machine Interactivity (HMI) is essential for many applications such as fine haptic feedback [9] [10]. The detection of force amplitude can make the interactivity between Apps and users close to reality and help developers exploit various functions based on different force levels.…”
Piezoelectric touch sensing in interactive
displays gains increasing attentions due to its high force detection
sensitivity and intrinsic mechanical-to-electrical conversion ability. However,
the instable force-voltage responsivity induced by preload effect of
piezoelectric materials reduces the force detection accuracy of secondary force
touches, which is important to touch and haptic applications such as peek-pop. To address this issue,
in this article, we present a preload effect elimination technique, in which
the relationship between the piezoelectric coefficients and static preload is
studied first, and then the detected secondary force touch is calibrated by
using the previously applied static force information. Experimental results
demonstrate that the force detection accuracy is boosted by 15.17% after applying
the developed technique to secondary force touches with different preload
values, potentially allowing the system to precisely interpret secondary force
touch amplitude and hence enhancing the development of touch sensing in
interactive displays.
“…Здебільшого використовують різноманітні варіації адаптивних фільтрів Калмана (Kalman Filter) [9]. У сучасній сенсорній техніці, й, зокрема, відповідно до технологій Інтернету речей, основні вузли сигнального перетворення отримали назву "аналоговий фронт-енд" (Analog Front-End) [10]. Попередні результати авторів цієї статті в галузі магнітної діагностики плазми в термоядерних реакторах наведено в роботах [11,12].…”
Section: основна концепція та аналіз проблемиunclassified
The analysis of magnetic diagnostics in next generation thermonuclear reactors is carried out. Based on this analysis, the new approach of magnetic field measurement in hard radiation and temperature condition is presented. The concept is based on data fusion concept by integration of Hall sensor and coil. High precision of magnetic field measurement insures on periodic in-situ calibration, namely, forming by the coil test magnetic field of known magnitude and measuring the signals of the Hall sensor, which are due to this test field. According to the results of measuring the test signals, the coefficients of the measuring conversion function are calculated. Main calibration issues of functionally integrated devices on Hall sensors and coils are detailed. Measurement system consists a functionally integrated 3D probe on Hall sensor and coil, analog front-end and software. Currently six sets of such devices have been installed for trial operation in JET (Oxford, GB).
“…Analog front end sensing requirements are analyzed for an analog to digital converter keeping in view of biomedical signals by Jo et al [21] and a correction strategy for the sensor's baseline was described by Rezaeiyan et al [22] which has the potential to reduce circuit overloading and improve sensor sensitivity. Roh et al [23] proposed a SAR-assisted SAR ADC using a dual clock-rate coarse decision approach to minimise the conversion time.…”
The utilisation of low power SAR (Successive Approximation Register) Analog-to-Digital Converters holds significant importance in the domain of bio-medical signal acquisition. The present study showcases the utilisation of an 8-bit CMOS SAR-ADC for integration into the analog front end of bio-signal acquisition. The focus of this technology pertains to the monitoring of implanted bio-signal devices, with a specific emphasis on ECG/EEG signals. A capacitive digital-to-analog converter (DAC) is suggested as a means to attain power consumption in the microwatt range. This approach enables comparisons to be made without any energy consumption, leading to a substantial enhancement in energy efficiency. Furthermore, a comprehensive theoretical examination of comparator offset voltages has been conducted to enhance the offset performance of the comparator operating at low supply voltage. The analysis indicates that optimization of the comparator is achieved solely through the adjustment of transistor sizes, without the implementation of any specific offset cancellation techniques. Simulations indicate that the optimization of the offset voltage to approximately 5 mV occurs when there is variation in the common-mode input voltage at a 1 V supply. The proposed Analog-to-Digital Converter (ADC) layout has been successfully executed utilizing the 45 nm Complementary Metal-Oxide-Semiconductor (CMOS) technology. The Analog-to-Digital Converter (ADC) attains a Spurious-Free Dynamic Range (SFDR) of 64.02 dB and consumes 1.9 μW of power at a sampling rate of 1.1 MHz and a supply voltage of 1 V.
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