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Dr. Georg Ogris - Head of R&D, Spantec GmbH
F&E: Forschung und Entwicklung
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Accuracy of the LPM tracking system considering dynamic position changes
Ogris, G.; Leser, R.; Horsak, B.; Kornfeind, P.; Mario Heller & Baca, A.
Journal of Sports Sciences, under review
LPM vs. VICON position estimation results
The study investigated the accuracy of the tracking system LPM (Local Position Measurement). The goal was to assess the usefulness of the system for sports performance analyses.
Six moderately trained male soccer players performed, in total, 276 runs on three different courses at six different speeds. Additionally, ten small-sided game plays were carried out. All runs and game plays were recorded with the LPM tracking system and the motion capture system VICON simultaneously. VICON served as the reference system. The absolute error of all LPM position estimations was on average 23.4±20.7 cm. The estimation for average velocities differed absolutely between 0.01 km·h-1 and 0.23 km·h-1, the maximum speed estimations differed up to 2.71 km·h-1. In addition the results showed that the accuracy is highly dependent on the instantaneous dynamics of the player and decreases in the marginal area of the observation field. The dependency of the accuracy on both the instantaneous dynamics and position were quantified. LPM is sufficiently accurate for position and velocity estimations, as they are needed for general performance analyses in sports. The LPM system provides valuable results for average velocities but it has deficiencies in dealing high dynamic movements and measuring instantaneous velocities.
Towards high-precision IMU/GPS-based stride-parameter determination in an outdoor runners’ scenario
Ogris, G.; Bichler, S.; Kremser, V.; Schwab, F. & Baca, A.
ISEA 2012, under review
Movement variability has received great attention due to evidence of its functional meaning, and thus offers potential for training optimization. The study on hand presents an extended pedestrian-dead-reckoning approach to stride parameter estimation in running on an athlete track. In addition, the supposed measurement system is evaluated by the means of a video-based reference system. This pilot study revealed that the proposed approach promises to be successful for high accuracy stride parameter estimation.
Review: Local Positioning Systems in (Game) Sports
Leser, R.; Baca, A. & Ogris, G.
MDPI Sensors, 2011, 11, 9778-9797
Position data of players and athletes are widely used in sports performance analysis for measuring the amounts of physical activities as well as for tactical assessments in game sports. However, positioning sensing systems are applied in sports as tools to gain objective information of sports behavior rather than as components of intelligent spaces (IS). The paper outlines the idea of IS for the sports context with special focus to game sports and how intelligent sports feedback systems can benefit from IS. Henceforth, the most common location sensing techniques used in sports and their practical application are reviewed, as location is among the most important enabling techniques for IS. Furthermore, the article exemplifies the idea of IS in sports on two applications.
Measuring nightly activity, body weight and body weight change rate with a sensor equipped bed
Schrempf, A.; Schossleitner, G.; Blaha, A. & Leipold, S.
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, 2010, 2151 – 2154
A bed was equipped with four force transducers so that the location of the Center Of Mass (COM) can be computed, when the bed contains a person. The computation of the COM and its alterations in combination with the sum of all measured forces allows to compute the person's position in bed, an activity level, the resulting body weight and the corresponding weight change rate over time (over night and long-term) as well as simply to determine whether the person is in the bed or not. The results of several overnight measurement experiments show, that the person's position in the bed (central, left, right) can be correctly detected, the proposed activity level is a promising indicator for the sleep-activity and furthermore the initial body weight as well as the nightly weight change rate can be determined.
Continuous activity recognition in a maintenance scenario: combining motion sensors and ultrasonic hands tracking
Ogris, G.; Lukowicz, P.; Stiefmeier, T. & Tröster, G.
Pattern Analysis & Applications, Springer London, 2011, 1-25
We describe the design and evaluation of pattern analysis methods for the cognition of maintenance-related activities. The presented work focuses on the spotting of subtle hand actions in a continuous stream of data based on a combination of body-mounted motion sensors and ultrasonic positioning. The spotting and recognition approach is based on three core ideas: (1) the use of location information to compensate for the ambiguity of hand motions, (2) the use of motion data to compensate for the slow sampling rate and unreliable signal of the low cost ultrasonic positioning system, and (3) an incremental, multi-stage spotting methodology. The proposed methods are evaluated in an elaborate bicycle repair experiment containing nearly 10 h of data from six subjects. The evaluation compares different strategies and system variants and shows that precision and recall rates around 90% can be achieved.
Entwicklung von Home-Automation Lösungen im Rahmen des Forschungsprojektes iLiving
Robert Rößler
FH Technikum Wien, Studiengang Mechatronik/Robotik, 2010
This project studies the prototyping of a FDD (Fall detection device) with the focus to detect falls by using the sensor platform NEON developed by Spantec GmbH. The main objectives were the development and implementation of an executable fall identification algorithm based on the supplied hardware. The coverage of this project also includes the gathering of sensor data within the scope of test falls, the implementation of a tool chain to process and analyze the data, as well as the implementation of the algorithm.
