Head-tracking virtual 3-D display for mobile devices

2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops ◽

10.1109/cvprw.2012.6238891 ◽

2012 ◽

Cited By ~ 5

Author(s):

Miguel Bordallo Lopez ◽

Jari Hannuksela ◽

Olli Silven ◽

Lixin Fan

Keyword(s):

Mobile Devices ◽

Head Tracking

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Head-tracking interfaces on mobile devices: Evaluation using Fitts’ law and a new multi-directional corner task for small displays

International Journal of Human-Computer Studies ◽

10.1016/j.ijhcs.2017.12.003 ◽

2018 ◽

Vol 112 ◽

pp. 1-15 ◽

Cited By ~ 9

Author(s):

Maria Francesca Roig-Maimó ◽

I. Scott MacKenzie ◽

Cristina Manresa-Yee ◽

Javier Varona

Keyword(s):

Mobile Devices ◽

Head Tracking ◽

Fitts Law

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Coarse-to-Fine Particle Filter by Implicit Motion Estimation for 3D Head Tracking on Mobile Devices

2010 20th International Conference on Pattern Recognition ◽

10.1109/icpr.2010.882 ◽

2010 ◽

Cited By ~ 1

Author(s):

Hachoen Sung ◽

Kwontaeg Choi ◽

Sunyoung Cho ◽

Hyeran Byun

Keyword(s):

Motion Estimation ◽

Particle Filter ◽

Mobile Devices ◽

Fine Particle ◽

Head Tracking ◽

Coarse To Fine

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New AAC Access Strategy for Gesture Tracking: A Technical Note

Perspectives on Augmentative and Alternative Communication ◽

10.1044/aac21.1.11 ◽

2012 ◽

Vol 21 (1) ◽

pp. 11-16 ◽

Cited By ~ 1

Author(s):

Susan Fager ◽

Tom Jakobs ◽

David Beukelman ◽

Tricia Ternus ◽

Haylee Schley

Keyword(s):

Augmentative And Alternative Communication ◽

Technical Note ◽

Head Tracking ◽

Alternative Communication ◽

Access Methods ◽

Cord Injury ◽

Physical Limitations ◽

Gesture Tracking ◽

Communication Needs ◽

Tracking Device

Abstract This article summarizes the design and evaluation of a new augmentative and alternative communication (AAC) interface strategy for people with complex communication needs and severe physical limitations. This strategy combines typing, gesture recognition, and word prediction to input text into AAC software using touchscreen or head movement tracking access methods. Eight individuals with movement limitations due to spinal cord injury, amyotrophic lateral sclerosis, polio, and Guillain Barre syndrome participated in the evaluation of the prototype technology using a head-tracking device. Fourteen typical individuals participated in the evaluation of the prototype using a touchscreen.

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