EDBT 2026 Demo / reviewers in the wild / expert
Mitja Veber
dblp:48/4285
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Motion planning and robot control · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Wearable and physiological sensing · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot control
inverse kinematics |
0.1 | 1 | 2006 | Assessment of Human Hand Kinematics · ICRA 2006 |
Wearable and physiological sensing › motion capture
hand motion tracking |
0.1 | 1 | 2006 | Assessment of Human Hand Kinematics · ICRA 2006 |
Methods — techniques the papers use, named apart from their topics
optical tracking · 0.1inverse kinematics · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Assessment of Human Hand KinematicsabstractIn the paper we propose a method for assessment of hand motion which is based on optical tracking system and parametric model of a hand. The model was scaled according to hand external dimensions of each individual. Optical tracking device was used for model validation which was made for middle and index finger. The algorithms for calculation of hinge joint axis of rotation and ball joint center of rotation were employed. The joint angles were obtained in two ways, from known centers of joint rotation and by solving inverse kinematics for finger from given positions of fingertips. The lengths of finger segments, calculated by using data from statistical anthropometry, do not differ notably from the lengths obtained from calculated centers of rotation of joints. The angles obtained by inverse kinematics are comparable to the angles obtained from estimated centers of rotation. Minimalistic approach makes the method suitable for calibration of a sensor glove Mitja Veber, Tadej Bajd |
ICRA | 1 |