This is a three-in-one report about the conference trips of the Navigation (Sensor) Group in the Department of Pervasive Computing.
Our visiting researcher Jan Rácko made a great study on pedestrian navigation with smartphones and we published together a paper Pedestrian Dead Reckoning with Particle Filter for Handheld Smartphone (Collin, J. T., Perttula, A. S., Parviainen, J. T., Racko, J. & Brida, P. 4 Oct 2016 Proceedings of IPIN 2016 Conference) which Jan presented at IPIN 2016, in Madrid, Spain. IPIN has become maybe the best conference on indoor navigation and it was very good place to show what we are doing here at TUT.
Next week it was time to fly to Budabest, to IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016), where Jussi Parviainen was presenting our inertial dice, with the paper entitled Real-time Implementation Of Dice Unloading Algorithm (Vassilyev, A., Parviainen, J., Collin, J. & Takala, J. 2016 2016 IEEE International Conference on Systems, Man, and Cybernetics SMC 2016)
Random numbers and statistics sometimes involve tedious experiments. In the second half of 19th century there was Rudolf Wolf with 100 000 throws of a single die (result 16632, 17700, 15183, 14393, 17707, 18385), later there were books consisting only random numbers on sale. Then became computers and pseudorandom numbers that save a lot of work. But we wanted to go back a bit because 1) throwing dice is fun 2) pseudorandom numbers are pseudo. So we combined dice and computer using inertial sensors. Obviously attaching anything to dice makes it a bit unbalanced. To avoid performing 100 000 throws for correcting the bias we employed Neumann’s method. The method requires ~3 throws and then the computer gives a one single unbiased result.
Finally, Arto flew to Orlando to present a paper Pedestrian Detection with High Resolution Inertial Measurement Unit (Perttula, A. S., Parviainen, J. T. & Collin, J. T. 2016 IEEE Sensors Conference 2016) at IEEE Sensors 2016 conference. In this paper we used our 32-fold inertial measurement unit array to detect passengers on a bus. Inertial sensors are becoming very sensitive and we are interested on figuring out what kind of events we can recognize from the data. Passenger footsteps were detected successfully and the research continues. The work is related to the Living Lab Bus project.
Postprints of the papers will be in TUTCRIS soon.
Figure 1. Landscape at SMC2016, photo by Jussi Parviainen
Figure 2. IEEE president Barry L. Shoop at SMC2016 Opening Ceremony
Figure 3. Arto presenting a poster at SENSORS 2016
Text: Jussi Collin