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Mitja Veber

dblp:48/4285 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
inverse kinematics
0.112006
Assessment of Human Hand Kinematics · ICRA 2006
Wearable and physiological sensing › motion capture
hand motion tracking
0.112006
Assessment of Human Hand Kinematics · ICRA 2006

Methods — techniques the papers use, named apart from their topics

optical tracking · 0.1inverse kinematics · 0.1
YearPublicationVenuePosition
2006 Assessment of Human Hand Kinematics
abstract
In 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
ICRA1