Henk Luinge

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3ranked-venue papers

0as first author

0since 2021 · last 2012

—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 2Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 1

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.

Human-computer interaction and pervasive computing

1 paper

Wearable and physiological sensing · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

Topic	Papers	Last	Evidence papers
Wearable and physiological sensing › motion sensing inertial and magnetic sensing	1	2003	Inertial and magnetic sensing of human movement near ferromagnetic materials · ISMAR 2003
Wearable and physiological sensing › motion sensing orientation estimation	1	2003	Inertial and magnetic sensing of human movement near ferromagnetic materials · ISMAR 2003
Wearable and physiological sensing › motion sensing motion tracking	1	2003	Inertial and magnetic sensing of human movement near ferromagnetic materials · ISMAR 2003

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

sensor fusion · 0.0kalman filter · 0.0

Year	Publication	Venue	Position
2012	Calibration of a magnetometer in combination with inertial sensors Manon Kok, Jeroen D. Hol, Thomas B. Schön, Fredrik Gustafsson, Henk Luinge	FUSION	5
2011	Second order nonlinear uncertainty modeling in strapdown integration using MEMS IMUs Jeroen D. Hol, Laurens Slot, Henk Luinge	FUSION	4
2003	Inertial and magnetic sensing of human movement near ferromagnetic materials abstract This paper describes a Kalman filter design to estimate orientation of human body segments by fusing gyroscope, accelerometer and magnetometer signals. Ferromagnetic materials near the sensor disturb the local magnetic field and therefore the orientation estimation. The magnetic disturbance can be detected by looking at the total magnetic density and a magnetic disturbance vector can be calculated. Results show the capability of this filter to correct for magnetic disturbances. Daniel Roetenberg, Henk Luinge, Peter H. Veltink	ISMAR	2