Project Details
Description
The SILENSE project will focus on using smart acoustic technologies and ultrasound in particular for Human Machine- and Machine to Machine Interfaces. Acoustic technologies have the main advantage of a much simpler, smaller, cheaper and easier to integrate transducer. The ambition of this project is to develop and improve acoustic technologies beyond state-of-the-art and extend its application beyond the mobile domain to Smart Home & Buildings and Automotive domains. In this project, it will be proven that acoustics can be used as a touchless activation and control mechanism, by improvement or development of different smart acoustic technology blocks (hardware, software and system level) and integrate these blocks at system level.
| Status | Finished |
|---|---|
| Effective start/end date | 01.05.2017 → 30.04.2020 |
Collaborative partners
- Johannes Kepler University Linz (lead)
- Infineon Technologies Austria AG (Project partner)
- LCM - Linz Center of Mechatronics GmbH (Project partner)
Fields of science
- 202017 Embedded systems
- 202028 Microelectronics
- 202015 Electronics
- 202037 Signal processing
- 202036 Sensor systems
- 202 Electrical Engineering, Electronics, Information Engineering
- 202023 Integrated circuits
- 202022 Information technology
- 202041 Computer engineering
- 202034 Control engineering
- 202030 Communication engineering
- 102019 Machine learning
- 202027 Mechatronics
- 202040 Transmission technology
- 202025 Power electronics
JKU Focus areas
- Digital Transformation
Research output
- 2 Conference proceedings
-
An Ultrasound Body Area Network for Arm Gesture Recognition
Pfann, E. & Huemer, M., 23 Nov 2020, Proceedings of the IEEE International Conference on Electronics, Circuits and Systems (ICECS 2020). IEEE, p. 1-4 4 p. 9294835. (27th IEEE International Conference on Electronics, Circuits and Systems (ICECS)).Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
-
Cyber-Physical Mobile Arm Gesture Recognition using Ultrasound and Motion Data
Putz, V., Mayer, J., Fenzl, H., Schmidt, R., Pichler-Scheder, M. & Kastl, C., Jun 2020, Proc. 3rd IEEE Int. Conf. on Industrial Cyber-Physical Systems. 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
Activities
- 1 Contributed talk
-
An Ultrasound Body Area Network for Arm Gesture Recognition
Pfann, E. (Speaker)
24 Nov 2020Activity: Talk or presentation › Contributed talk › science-to-science