scholarly journals HeMoG: A White-Box Model to Unveil the Connection between Saliency Information and Human Head Motion in Virtual Reality

2021 ◽  
Author(s):  
Miguel Fabian Romero Rondon ◽  
Dario Zanca ◽  
Stefano Melacci ◽  
Marco Gori ◽  
Lucile Sassatelli
Keyword(s):  
Virtual Reality ◽  
Human Head ◽  
Box Model ◽  
Head Motion

Multisensor Integrated Prediction for Virtual Reality

1998 ◽  
Vol 7 (4) ◽  
pp. 410-422 ◽  
Author(s):  
Satoru Emura ◽  
Susumu Tachi
Keyword(s):  
Virtual Reality ◽  
Real Time ◽  
Rotational Motion ◽  
Sampling Rate ◽  
Human Head ◽  
Head Motion ◽  
Boundary Process ◽  
Rms Error ◽  
Magnetic Tracker ◽  
Quaternion Representation

Unconstrained measurement of human head motion is essential for HMDs (headmounted displays) to be really interactive. Polhemus sensors developed for that purpose have deficiencies of critical latency and low sampling rates. Adding to this, a delay for rendering virtual scenes is inevitable. This paper proposes methods that compensate the latency and raises the effective sampling rate by integrating Polhemus and gyro sensors. The adoption of quaternion representation enables us to avoid singularity and the complicated boundary process of rotational motion. The ability of proposed methods under various rendering delays was evaluated in the respect of RMS error and our new correlational technique, which enables us to check the latency and fidelity of a magnetic tracker, and to assess the environment where the magnetic tracker is used. The real-time implementation of our simpler method on personal computers is also reported in detail.

Analysis of Human Head Motion and Robotic Compensation for PET Imaging Studies

2021 ◽  
Author(s):  
Yangzhe Liu ◽  
Ti Wu ◽  
Iulian I. Iordachita ◽  
Caroline Paquette ◽  
Peter Kazanzides
Keyword(s):  
Pet Imaging ◽  
Human Head ◽  
Head Motion ◽  
Imaging Studies

Research on Measurement of Human Head Motion Attitude

2011 ◽  
Vol 411 ◽  
pp. 183-187
Author(s):  
Pei Gang Jia ◽  
Shao Mei Wang ◽  
Xue Feng Suo
Keyword(s):  
Mental Health ◽  
Measurement Accuracy ◽  
People With Disabilities ◽  
Human Head ◽  
Head Position ◽  
Head Motion ◽  
Physical And Mental Health ◽  
Head Posture ◽  
The People ◽  
Attitude Sensor

For the people with disabilities, improper head posture may be harmful to their physical and mental health. This paper designed a sensor of 3D attitude to measure the human head position. The rang of angle, rate or displacement and other attitude information under the best condition can be obtained by analyzing the results of calculation. The information can be used to adjust the posture of the people with disabilities to a comfortable position. The experimental results show that the measurement accuracies of 3D attitude sensor are 0.08°, 0.03°and 0.05°respectively, which can meet the demand of measurement accuracy in engineering. This sensor is proved to be rapid, simple and practical.

ACTIVE HEAD TRACKING BASED ON CHROMATIC SHAPE FITTING

2003 ◽  
Vol 17 (04) ◽  
pp. 529-544
Author(s):  
JASON Z. ZHANG ◽  
Q. M. JONATHAN WU ◽  
WILLIAM A. GRUVER
Keyword(s):  
Real Time ◽  
Relative Motion ◽  
Tracking System ◽  
Human Head ◽  
Head Motion ◽  
Head Tracking ◽  
Functional Modules ◽  
Current Image ◽  
Shape Fitting

This paper presents a method for tracking a human head based on the integration of camera saccade and chromatic shape fitting, which are implemented as functional modules in an active tracking system. Head motion is detected in the saccade module by extracting edges from two successive images. The position of the head in the current image is approximated as the centroid of the apparition formed by the moving edges of the target. A visual position cue is used to drive a pan/tilt camera to perform real-time saccade keeping the target in the foveal area in the image. The shape-fitting module is invoked to extract more information from the target. The shape of the target is modeled as an ellipse whose position, orientation and size are dynamically determined by shape fitting, and implemented with a color registration technique. In the proposed method, quasi real-time pursuit is achieved using a Pentium II computer in an uncontrolled environment with arbitrary relative motion between the target and camera.

Sign in / Sign up

Export Citation Format

Share Document