Improving static and dynamic registration in an optical see-through HMD
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
NPSNET: flight simulation dynamic modeling using quaternions
Presence: Teleoperators and Virtual Environments
Presence: Teleoperators and Virtual Environments
An inertial head-orientation tracker with automatic drift compensation for use with HMD's
VRST '94 Proceedings of the conference on Virtual reality software and technology
Position trackers for Head Mounted Display systems: A survey
Position trackers for Head Mounted Display systems: A survey
Analysis of Head Pose Accuracy in Augmented Reality
IEEE Transactions on Visualization and Computer Graphics
Presence: Teleoperators and Virtual Environments
Accurate Image Overlay on Video See-Through HMDs Using Vision and Accelerometers
VR '00 Proceedings of the IEEE Virtual Reality 2000 Conference
A Dead-Reckoning Algorithm for Virtual Human Figures
VRAIS '97 Proceedings of the 1997 Virtual Reality Annual International Symposium (VRAIS '97)
Inertial and magnetic sensing of human movement near ferromagnetic materials
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
Visualizing reality in an augmented virtual environment
Presence: Teleoperators and Virtual Environments - Special issue: IEEE VR 2003
Development of a Tiny Orientation Estimation Device to Operate under Motion and Magnetic Disturbance
International Journal of Robotics Research
Orient-2: a realtime wireless posture tracking system using local orientation estimation
Proceedings of the 4th workshop on Embedded networked sensors
Hybrid tracking of human operators using IMU/UWB data fusion by a Kalman filter
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
Fast perceptual region tracking with coding-depth sensitive access for stream transcoding
Journal of Visual Communication and Image Representation
History: The use of the kalman filter for human motion tracking in virtual reality
Presence: Teleoperators and Virtual Environments
Dynamic gyroscope fusion in Ubiquitous Tracking environments
ISMAR '08 Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
Sensor data integration for indoor human tracking
Robotics and Autonomous Systems
Leveraging proprioception to make mobile phones more accessible to users with visual impairments
Proceedings of the 12th international ACM SIGACCESS conference on Computers and accessibility
TREC: platform-neutral input for mobile augmented reality applications
Proceedings of the 3rd ACM SIGCHI symposium on Engineering interactive computing systems
Gaze-directed hands-free interface for mobile interaction
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: interaction techniques and environments - Volume Part II
In use parameter estimation of inertial sensors by detecting multilevel quasi-static states
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
Drift-free attitude estimation for accelerated rigid bodies
Automatica (Journal of IFAC)
Online real-time presentation of virtual experiences forexternal viewers
Proceedings of the 18th ACM symposium on Virtual reality software and technology
Study of Zero Velocity Update for Both Low-and High-Speed Human Activities
International Journal of E-Health and Medical Communications
A Methodology for the Performance Evaluation of Inertial Measurement Units
Journal of Intelligent and Robotic Systems
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Current virtual environment and teleoperator applications are hampered by the need for an accurate, quick-responding head-tracking system with a large working volume. Gyroscopic orientation sensors can overcome problems with jitter, latency, interference, line-of-sight obscurations, and limited range, but suffer from slow drift. Gravimetric inclinometers can detect attitude without drifting, but are slow and sensitive to transverse accelerations. This paper describes the design of a Kalman filter to integrate the data from these two types of sensors in order to achieve the excellent dynamic response of an inertial system without drift, and without the acceleration sensitivity of inclinometers.