Optic flow is used to control human walking
By William H. Warren Jr., B. Kay, Wendy D. Zosh, Andrew P. Duchon, S. Sahuc. Nature Neuroscience, 2001
774 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/ebe56cc93c6152af4898ff9c1b1a99fe340dec73
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Michael J. Kahana
- William H. Warren Jr.
- Jeremy B. Caplan
- Ehren L. Newman
- Marc W Howard
- Sean M. Polyn
- Neil Burgess
- Ole Jensen
Citations in the corpus
- Human θ Oscillations Related to Sensorimotor Integration and Spatial Learning (2003, background): “Virtual reality has been used extensively in recent years to study human spatial behavior (Klatzky et al., 1998; Redlick et al., 2001; Warren et al., 2001; Lambrey et al., 2002) (E.”
- The Accuracy and Precision of Position and Orientation Tracking in the HTC Vive Virtual Reality System for Scientific Research (2017, background): “Other examples of studies for which these problems are fatal are the study of the perception of travel distance (Frenz & Lappe, 2005) or the investigation of cue use during walking through systematic manipulations of optic flow (e.g., Li et al., 2014; Warren et al., 2001).”
- Virtual reality in behavioral neuroscience and beyond (2002, neutral): “For example, we tested whether people rely on optic flow or egocentric position to guide locomotor behavior to a goal by presenting physically impossible motion patterns to walking observers 11 .”
- The dynamics of perception and action. (2006, background): “…observer travels faster or as there is more visual structure, steering will be increasingly dominated by the optic flow, consistent with experimental evidence (Fink & Warren, 2002; M. G. Harris & Carre, 2001; Warren et al., 2001; Wilkie & Wann, 2002; Wood, Harvey, Young, Beedie, & Wilson, 2000).”
- Recognition of natural scenes from global properties: Seeing the forest without representing the trees (2008, neutral): “The global properties of navigability and concealment directly measure two types of human–environment interactions deemed to be important to natural scene perception from previous work ([Appelton, 1975], [Gibson, 1958], [Gibson, 1979], [Kaplan, 1992] and [Warren et al., 2001]).”
- Behavioral dynamics of steering, obstacle avoidance, and route selection. (2003, background): “These angles are visually available to the agent, and there is evidence that both the object-relative heading specified by optic flow and the egocentric direction of a goal with respect to the locomotor axis contribute to the visual control of locomotion (Li & Warren, 2002; Rushton et al., 1998; War”