Multiple Sensory Cues Underlying the Perception of Translation and Path

Yong, Nicholas Au; Paige, Gary D.; Seidman, Scott H.

doi:10.1152/jn.00694.2006

Cited by 29 publications

(22 citation statements)

References 41 publications

(52 reference statements)

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“…In particular, vestibular and somatosensory signals have been shown to contribute strongly to perception of linear displacement (Berthoz et al 1995;Israël et al 1997;Harris 2000) and velocity . Recent work does indicate an especially strong contribution by nondirectional inertial cues (Yong et al 2007).…”

Section: Nature Of the Variables And Suggested Experimentsmentioning

confidence: 99%

Motion parallax contribution to perception of self-motion and depth

2008

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The object of this study is to mathematically specify important characteristics of visual flow during translation of the eye for the perception of depth and self-motion. We address various strategies by which the central nervous system may estimate self-motion and depth from motion parallax, using equations for the visual velocity field generated by translation of the eye through space. Our results focus on information provided by the movement and deformation of three-dimensional objects and on local flow behavior around a fixated point. All of these issues are addressed mathematically in terms of definite equations for the optic flow. This formal characterization of the visual information presented to the observer is then considered in parallel with other sensory cues to self-motion in order to see how these contribute to the effective use of visual motion parallax, and how parallactic flow can, conversely, contribute to the sense of self-motion. This article will focus on a central case, for understanding of motion parallax in spacious real-world environments, of monocular visual cues observable during pure horizontal translation of the eye through a stationary environment. We suggest that the global optokinetic stimulus associated with visual motion parallax must converge in significant fashion with vestibular and proprioceptive pathways that carry signals related to self-motion. Suggestions of experiments to test some of the predictions of this study are made.

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Section: Nature Of the Variables And Suggested Experimentsmentioning

confidence: 99%

Motion parallax contribution to perception of self-motion and depth

2008

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“…This was evaluated by again comparing unisensory conditions (vestibular alone and visual alone) to combined cue conditions and also by introducing a visual gain manipulation during passive movements. Although we are assuming that the main source of non-visual information provided during passive movements is vestibular in this case, it remains possible that other information such as vibrations, pressure from the seat during accelerations, wind, and other inertial cues may also provide information about self-motion in this context (Yong et al 2007). …”

Section: Experiments 2: Passive Transportmentioning

confidence: 99%

Multisensory integration in the estimation of walked distances

2012

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When walking through space, both dynamic visual information (optic flow) and body-based information (proprioceptive and vestibular) jointly specify the magnitude of distance travelled. While recent evidence has demonstrated the extent to which each of these cues can be used independently, less is known about how they are integrated when simultaneously present. Many studies have shown that sensory information is integrated using a weighted linear sum, yet little is known about whether this holds true for the integration of visual and body-based cues for travelled distance perception. In this study using Virtual Reality technologies, participants first travelled a predefined distance and subsequently matched this distance by adjusting an egocentric, in-depth target. The visual stimulus consisted of a long hallway and was presented in stereo via a head-mounted display. Body-based cues were provided either by walking in a fully tracked free-walking space (Exp. 1) or by being passively moved in a wheelchair (Exp. 2). Travelled distances were provided either through optic flow alone, body-based cues alone or through both cues combined. In the combined condition, visually specified distances were either congruent (1.0×) or incongruent (0.7× or 1.4×) with distances specified by body-based cues. Responses reflect a consistent combined effect of both visual and body-based information, with an overall higher influence of body-based cues when walking and a higher influence of visual cues during passive movement. When comparing the results of Experiments 1 and 2, it is clear that both proprioceptive and vestibular cues contribute to travelled distance estimates during walking. These observed results were effectively described using a basic linear weighting model.

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“…In the absence of vision, audition, or proprioception, perceiving translational movements depends upon the transduction of mainly inertial information along with other cues, such as somatosensory information, including vibrations or wind (Yong et al 2007). Obtaining a precise internal estimate of changes in velocity or location requires that this inertial information be integrated accurately (Mayne 1974).…”

Section: Discussionmentioning

confidence: 99%

“…Although this method is applicable to a variety of research questions, we use it here to study self-motion perception during passive transport, where the primary sources of information are inertial (acceleration-based). Such perception depends primarily on the detection of acceleration by the otolith organs in the inner ear, but may also involve other inertial mechanisms (e.g., the kidneys: Mittelstaedt 1996), somatosensory information such as pressure on the skin during acceleration, and vibrations, which can also serve as a direct indicator of traveling speed (Yong et al 2007).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Measurement of instantaneous perceived self-motion using continuous pointing

et al. 2009

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In order to optimally characterize full-body self-motion perception during passive translations, changes in perceived location, velocity, and acceleration must be quantiWed in real time and with high spatial resolution. Past methods have failed to eVectively measure these critical variables. Here, we introduce continuous pointing as a novel method with several advantages over previous methods. Participants point continuously to the mentally updated location of a previously viewed target during passive, full-body movement. High-precision motion-capture data of arm angle provide a measure of a participant's perceived location and, in turn, perceived velocity at every moment during a motion trajectory. In two experiments, linear movements were presented in the absence of vision by passively translating participants with a robotic wheelchair or an anthropomorphic robotic arm (MPI Motion Simulator). The movement proWles included constantvelocity trajectories, two successive movement intervals separated by a brief pause, and reversed-motion trajectories. Results indicate a steady decay in perceived velocity during constant-velocity travel and an attenuated response to mid-trial accelerations.

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Multiple Sensory Cues Underlying the Perception of Translation and Path

Cited by 29 publications

References 41 publications

Motion parallax contribution to perception of self-motion and depth

Motion parallax contribution to perception of self-motion and depth

Multisensory integration in the estimation of walked distances

Measurement of instantaneous perceived self-motion using continuous pointing

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