Abstract
This contribution presents a comparison of different algorithms for finger gesture recognition in the context of capacitive proximity sensing. The processing of the measured data for gesture interpretation can be done directly with the capacitance values or via a preprocessing step to get more meaningful parameters like position and velocity. For this application of signal processing a newly developed measurement hardware is used.
| Original language | English |
|---|---|
| Title of host publication | Proceedings Computer Aided Systems Theory - EUROCAST 2017 - Extended Abstracts |
| Pages | 189-190 |
| Number of pages | 2 |
| Publication status | Published - Feb 2017 |
Fields of science
- 202012 Electrical measurement technology
- 202036 Sensor systems
- 202 Electrical Engineering, Electronics, Information Engineering
- 202016 Electrical engineering
- 202027 Mechatronics
- 202037 Signal processing
- 202039 Theoretical electrical engineering
JKU Focus areas
- Mechatronics and Information Processing