Human odometry refers to an individual's ability to travel between locations without eyesight and without designating a conscious effort toward spatially updating themselves as they travel through the environment. A systematic review on human odometry was completed for the purpose of establishing the state-of-the-art of the topic, and based on this information, develop meaningful hypotheses using Strong Inference. The following databases were searched up to February 16, 2023, and accessed through University of Nebraska at Omaha proxied databases: IEEEXplore, PsycArticles, PsycInfo, PubMed Central, SCOPUS, and Web of Science. Of the 7,060 articles reviewed, 23 met our inclusion criteria and were accumulated for their contents and quality. Methodologies, limitations, strengths, and future solutions based on those 23 articles are discussed. In summary, young healthy adults are the typical population examined, and distance perception can be manipulated with distance or gait type. Odometry can be studied using simple measurement tools, participants are often given 3-4 attempts to correctly perceive an average distance of 14.3 m, and the average article is of moderate quality with a mean score of 6.13. Many literature gaps, variability in methodology, and insufficient detail, can be amended by the addition of slightly more detailed manuscripts in future publications.
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http://dx.doi.org/10.1007/s00426-024-02058-0 | DOI Listing |
Sensors (Basel)
December 2024
Institute of Computer Science, Zurich University of Applied Sciences, 8400 Winterthur, Switzerland.
Simultaneous localization and mapping (SLAM) techniques can be used to navigate the visually impaired, but the development of robust SLAM solutions for crowded spaces is limited by the lack of realistic datasets. To address this, we introduce InCrowd-VI, a novel visual-inertial dataset specifically designed for human navigation in indoor pedestrian-rich environments. Recorded using Meta Aria Project glasses, it captures realistic scenarios without environmental control.
View Article and Find Full Text PDFSensors (Basel)
November 2024
School of Computer Science and Technology, North University of China, Taiyuan 030051, China.
Simultaneous Localization And Mapping (SLAM) algorithms play a critical role in autonomous exploration tasks requiring mobile robots to autonomously explore and gather information in unknown or hazardous environments where human access may be difficult or dangerous. However, due to the resource-constrained nature of mobile robots, they are hindered from performing long-term and large-scale tasks. In this paper, we propose an efficient multi-robot dense SLAM system that utilizes a centralized structure to alleviate the computational and memory burdens on the agents (i.
View Article and Find Full Text PDFPsychol Res
November 2024
Department of Biomechanics, University of Nebraska at Omaha, 6160 University Dr S, Omaha, NE, 68182, USA.
Human odometry refers to an individual's ability to travel between locations without eyesight and without designating a conscious effort toward spatially updating themselves as they travel through the environment. A systematic review on human odometry was completed for the purpose of establishing the state-of-the-art of the topic, and based on this information, develop meaningful hypotheses using Strong Inference. The following databases were searched up to February 16, 2023, and accessed through University of Nebraska at Omaha proxied databases: IEEEXplore, PsycArticles, PsycInfo, PubMed Central, SCOPUS, and Web of Science.
View Article and Find Full Text PDFWe introduce the Visual Experience Dataset (VEDB), a compilation of more than 240 hours of egocentric video combined with gaze- and head-tracking data that offer an unprecedented view of the visual world as experienced by human observers. The dataset consists of 717 sessions, recorded by 56 observers ranging from 7 to 46 years of age. This article outlines the data collection, processing, and labeling protocols undertaken to ensure a representative sample and discusses the potential sources of error or bias within the dataset.
View Article and Find Full Text PDFBehav Res Methods
April 2024
Laboratory for Experimental Ophthalmology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Eye movements offer valuable insights for clinical interventions, diagnostics, and understanding visual perception. The process usually involves recording a participant's eye movements and analyzing them in terms of various gaze events. Manual identification of these events is extremely time-consuming.
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