The project is building tools for wireless sensor development, including the testbed with sensor modules, that can be tested and profiled while deployed at the Institute of Electronics and Computer Science. The current activities include remote programming and remote boot support, configuration and service server development. There is also work being done for the mobile testbed that will be used for ITS research and systems validation.
The second aspect of the project involves applications of cyber physical systems for health care. THe researchers are developing a wearable and wireless heart monitor, currently in the prototype desin phase. Another prototype being developed and tested is the body dynamics sensor system containing several accelerometer and gyroscope modules that in concert can deliver a shape of body such as back or a knee joint in real time and assist in rehabilitation. Currently the back shape prototype is built and the new version is under development, including additional sensors for better precision.
The third area is intelligent transportation systems. The research group is in the process of developing a smart sensor interface for vehicle position and orientation in the environment, using such sensors as LiDAR Velodyne HDL-32E, RTK-GPS OXTS RT3003 and OXTS RT-Base-2. These devices are being adapted and tested for eventual participation in the Grand Cooperative Driving Challenge 2016. In addition, work is being done in the field of image processing and analysis, including object identification on a noisy backround for road analyisis in real time, as well as driver face image analysis for the signs of fatigue.
- Presentation at Baltic Eleectronics Conference – BEC 2014 (Tallin, Estonia, 06-08.10.2014)
- Presentation at Exhibition MINOX 2014 (Riga, 10-11.10.2014)
- Presentation at 73. Conference of the University of Latvia (Riga, 20.02.2015)
K.Nesenbergs, L. Selavo, “Smart textiles for wearable sensor networks: review and early lessons,” Medical Measurements and Applications (MeMeA) 2015 Conference on, Torino, Italy, 7-9 May 2015.
O.Nikisins, R.Fuksis, A. Kadikis and M. Greitans. Face recognition system on Raspberry Pi, International Conference on Information Processing and Control Engineering (ICIPCE-2015), April 15-17, 2015. Moscow, Russia.
A.Hermanis, R. Cacurs, K. Nesenbergs, M. Greitans, E. Syundyukov, L. Selavo, “Demonstration Abstract: Wearable Sensor Grid Architecture for Body Posture and Surface Detection and Rehabilitation,” The 14th ACM/IEEE International Conference on Information Processing in Sensor Networks (ACM/IEEE IPSN), CPSWEEK, Seattle, USA, April 13-16, 2015.
L.Selavo, I. Drikis, A. Mednis, R. Balass. “DiStAL: Digitally Steerable Antennas for Localization,” Technical report, Microsoft Indoor Localization Competition, 2015.
Dimitrios Lymberopoulos and the participants of Microsoft Indoor localization Competition 2014 (including Leo Selavo), “A Realistic Evaluation and Comparison of Indoor Location Technologies: Experiences and Lessons Learned,” The 14th ACM/IEEE International Conference on Information Processing in Sensor Networks (ACM/IEEE IPSN), CPSWEEK, Seattle, USA, April 13-16, 2015.