Projects per year
Abstract
The increasing miniaturization of electronic devices requires alternative operating concepts. The focus here is to provide the user with an
intuitive way to control devices.
In the course of the present master thesis a capacitive measuring system to record the movement of a fingertip is developed.
This finger movement can be further processed by a suitable algorithm for gesture recognition.
With several capacitive sensors the location in 3D-space of the finger tip is determined by the method of the self-capacity (loading-mode).
At measurement-electrodes, the respective capacitance to the fingertip is determined by measuring the displacement current.
Then the current finger position is evaluated by an algorithm for position estimation. The challenge is to measure a very small capacity
(femtofarad range)
with high temporal resolution, while measuring on several measurement-electrodes simultaneously.
After demonstrating that the measurement of the capacitance is working fine, a measuring system with a total of seven measuring channels is
developed.
Besides the circuit design, the PCB design and the programming of the signal processor, a mathematical model is developed by which the
fingertip position is related to the measuring capacity.
Based on this model, an algorithm for position estimation is implemented in MATLAB.
The function of the measuring system is finally shown by performing various finger movements.
It turns out that the recording of various gestures works without significant problems.
The movement is recorded with a sampling time of 2.7 milliseconds, wherein the determined finger position differs by a maximum of 1-2
millimeters from the actual position.
Thus, the measuring system is very well suited for recording finger movements, where the goal is to determine the basic shape of the gesture.
Translated title of the contribution | Development of a capacitive measuring system for recording movements of a fingertip |
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Original language | German (Austria) |
Publication status | Published - May 2018 |
Fields of science
- 202012 Electrical measurement technology
- 202036 Sensor systems
- 202 Electrical Engineering, Electronics, Information Engineering
- 202015 Electronics
- 202027 Mechatronics
- 202037 Signal processing
JKU Focus areas
- Mechatronics and Information Processing
- Engineering and Natural Sciences (in general)
Projects
- 1 Finished
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Robuste kapazitive Sensorik zur zuverlässigen Erkennung der Anwenderintention im Sanitärbereich
Altmanninger, T. (Researcher), Haslinger, L. (Researcher), Hehenberger, S. (Researcher), Wasserthal, S. (Researcher) & Zagar, B. (PI)
01.07.2014 → 31.05.2018
Project: Funded research › FFG - Austrian Research Promotion Agency