
Explore capacitive sensing with capacitive coupling to detect conductive objects and touch, via a printed circuit board, protective overlay, dielectric, and a finger forming center and finger capacitances.
Explore practical capacitive touch sensing with controller applications from Apple iPod nano scroll discs to continuum boards, covering x/y axis buttons and commercial musical interfaces.
Explore how a parallel plate capacitor senses liquid level by comparing two capacitances from digital converters to a fixed reference, using dielectric water and area-to-distance changes for industrial IoT sensing.
Explore grounded capacitance sensors and their shielded differential configuration, revealing how two measurements cancel common DC and noise to isolate the actual AC sensor signal.
Compare floating and grounded sensors, detailing how excitation and reference voltages set a fixed input and shift the ground reference, with calibration or nullification to handle deviations.
Explore inter digitated capacitors (IDCs) as sensor elements, detailing finger-like electrode geometry, dielectric materials, field distribution, and how test materials are placed above the IDC for sensing.
Explore silicon implementations of interdigitated capacitors (idcs) in mems sensors, showing how movement along length or width alters capacitance and enables pixel-level readout.
Explore capacitance detection and measurement using a parallel-plate capacitor with a dielectric, deriving capacitance from epsilon, area, and plate distance, then sensing changes with a capacitance-to-digital converter.
Investigate integrated sensors and readout circuits, focusing on capacitive sensor implementations, frequency optimization, calibration, and material choices such as metal oxide films.
Analyze signal conditioning, buffering, and gain control to enable reliable sensor readout and efficient analog to digital control across bandwidth, voltage levels, resolution, and interface design.
Explore how capacitor charge is amplified by adjusting capacitance and voltage, using voltage gain amplifiers and differential amplifiers, and why voltage amplification is preferred over integration.
Configure amplifiers with input and feedback capacitors to buffer the output, reject low-frequency dc noise, and pass high and mid-band signals related to sensor activation.
This lecture covers four common sensor read-out configurations, identifying shared input reference, parasitic capacitance, and amplifiers, then contrasts open and closed loop architectures with modulation and low-pass filtering.
Explore a low-power, inverter-based readout circuit for capacitive sensors, using two-phase switching and feedback to achieve high gain, linear input-output characteristics, and controlled charge/discharge for optical fiber sensing applications.
Explore fully differential readout circuits that compare two signal channels to reject common-mode noise, contrast with single-ended designs, and show how clock phases, capacitors, and integration achieve differential measurement.
Explore how a capacitance to digital converter (NCDC) uses a parallel plate capacitor to measure relative permittivity and convert voltage to charge, with the external host reading the output.
Examine time domain processing for a time to digital converter, focusing on controlling the frequency of operation using division and multiplication, and understanding automation frequency and amplitude.
Explore programmable amplification and gains to extend the sensor's dynamic range, convert analog signals to digital data, and apply high-resolution, in-depth signal processing in the voltage domain.
Design and evaluate the measurement system and calibration workflow, measuring frequency to derive a calibrated voltage. Analyze simulated versus actual outputs, and validate dashboards and interfaces for accurate readouts.
Assess sensor output accuracy by comparing to reference and delta calibration, accounting for noise, linearity, speed, offset, and nonlinearity to ensure precision, repeatability, and resolution, reported in ppm or ppb.
Learn how data converters are evaluated with static and dynamic metrics, including offset, gain, DNL, INL, monotonicity, settling time, aperture, input dynamic range, distortion, harmonics, and signal to noise ratio.
Increase ADC and TDC accuracy by higher sampling rate and greater resolution, yielding more signal levels and tighter tracking, which reduces the error between actual and sampled values.
Explain how ADC offset error shifts the ideal staircase transfer function, creating negative or positive offsets, and how designers correct them to improve accuracy.
Learn how ADC gain error causes saturation and offset in readout signals, comparing ideal and real transfer curves, and identifying offset at bottom left and gain saturation at top right.
Explore sensor interface design and readout IC optimization for medical systems, leveraging digital architecture to reduce footprint and enable multi-institution integration.
The capacitance to digital converter (CDC) are being extensively used in Biomedical diagnostics, Water and level sensing applications in Industrial sector, MEMS sensor interface and plenty of hobby projects by young engineers. The basics of capacitance sensors, types of cap sensors - Floating and Grounded and their construction is discussed. Learn about the interdigitated Capacitor platform for many Gas Sensing applications and pressure sensing applications. In this course, you will learn about the following:
1. What is a sensor ?
2. How to design and build a capacitance sensor ?
3. Use a MEMS capacitance sensor in an application.
4. Interfacing an ADC to the sensor and reading out the values.
5. Touch sensing / Pressure Sensing
In my research, I have proposed and demonstrated a sensitivity enhancement technique and a sensitivity tunability technique using Ring Oscillators for capacitance-based measurements. I combined both these techniques and an additional temperature calibration method and integrated the capacitance sensor in a single chip to act like a Lab-on-Chip platform. I was able to measure hundreds of atto-farad using this technique and methods. The papers based on this research work have been published in flagship IEEE Circuits and Systems Society conferences - ISCAS, MWSCAS and India's top VLSI conference - VLSID.
The fundamental points used in this talk use the material from the other 4 courses offered in this platform. Do visit and enroll in the other courses to gain benefit.
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