Jens Christian Andersen

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The purpose of this study was to investigate postural responses of healthy subjects and patients with recent ankle sprains following a perturbation that created sway in the frontal plane. EMG data were taken from the posterior tibialis (PT) (not monitored in patients), peroneal longus (PL), and tibialis anterior muscles (TA). Subjects stood on a platform(More)
Our purpose in conducting this study was to estimate the reliability of reciprocal concentric knee extension and flexion peak torque obtained in uninjured male athletes using the Biodex isokinetic dynamometer. Twenty-six male intercollegiate athletes (age=19.5+/-4.1 yr; ht=70.3+/-14.9 in; wt=212.9+/-48.5 lb) participated in this study. We used the Biodex to(More)
Interpreting laser data to allow autonomous robot navigation on paved as well as dirt roads using a fixed angle 2D laser scanner is a daunting task. This paper introduces an algorithm for terrain classification that fuses seven distinctly different classifiers: raw height, roughness, step size, curvature, slope, width and invalid data. These are then used(More)
This paper describes a navigation method based on road detection using both a laser scanner and a vision sensor. The method is to classify the surface in front of the robot into traversable segments (road) and obstacles using the laser scanner, this classifies the area just in front of the robot (2.5 m). The front looking camera is used to classify the road(More)
INTRODUCTION Bariatric surgery is most often performed with the laparoscopic Roux-en-Y gastric bypass. A complication to the laparoscopic Roux-en-Y gastric bypass is internal hernia, which occurs in up to 16% of the patients. Since the laparoscopic Roux-en-Y gastric bypass is performed in women of fertile age, internal hernia may occur during pregnancy. (More)
– In this paper the use of derivative free filters for mobile robot localisation is investigated. Three different filters are tested on real life data from an autonomous tractor running in an orchard environment. The localisation algorithm fuses odometry and gyro measurements with line features representing the surrounding fruit trees. The line features are(More)
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