Literature DB >> 35953662

Comparison of visual SLAM and IMU in tracking head movement outdoors.

Ayush Kumar1, Shrinivas Pundlik1, Eli Peli1, Gang Luo2.   

Abstract

Tracking head movement in outdoor activities is more challenging than in controlled indoor lab environments. Large-magnitude head scanning is common under natural conditions. Compensatory gaze (head and eye) scanning while walking may be critical for people with visual field loss. We compared the accuracy of two outdoor head tracking methods: differential inertial measurement units (IMU) and simultaneous localization and mapping (SLAM). At a fixed location experiment, a gaze aiming test showed that SLAM outperforms IMU in terms of error (IMU: 9.6°, SLAM: 4.47°). In an urban street walking experiment conducted with five patients with hemifield loss, the IMU drift, quantified by root-mean-square deviation, was as high as 68.1°, while the drift of SLAM was only 5.3°. However, the SLAM method suffered from data loss due to tracking failure (~10% overall, and ~ 18% when crossing streets). Our results show that the SLAM and IMU methods have complementary properties. Because of no data gaps, the differential IMU method may be desirable as compared to SLAM in settings where the signal drift can be removed in post-processing and small gaze estimation errors can be tolerated.
© 2022. The Psychonomic Society, Inc.

Entities:  

Keywords:  Head scanning; IMU; Outdoor navigation; Visual SLAM

Year:  2022        PMID: 35953662     DOI: 10.3758/s13428-022-01941-1

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  5 in total

1.  Interaction of the body, head, and eyes during walking and turning.

Authors:  T Imai; S T Moore; T Raphan; B Cohen
Journal:  Exp Brain Res       Date:  2001-01       Impact factor: 1.972

2.  Fear of heights freezes gaze to the horizon.

Authors:  Günter Kugler; Doreen Huppert; Erich Schneider; Thomas Brandt
Journal:  J Vestib Res       Date:  2014       Impact factor: 2.435

3.  Head movement compensation and multi-modal event detection in eye-tracking data for unconstrained head movements.

Authors:  Linnéa Larsson; Andrea Schwaller; Marcus Nyström; Martin Stridh
Journal:  J Neurosci Methods       Date:  2016-09-28       Impact factor: 2.390

4.  Head movements while crossing streets: effect of vision impairment.

Authors:  Shirin E Hassan; Duane R Geruschat; Kathleen A Turano
Journal:  Optom Vis Sci       Date:  2005-01       Impact factor: 1.973

5.  Functional assessment of head-eye coordination during vehicle operation.

Authors:  Hamish G MacDougall; Steven T Moore
Journal:  Optom Vis Sci       Date:  2005-08       Impact factor: 1.973

  5 in total

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