Easing the integration: A feasible indoor wayfinding system for cognitive impaired people

Torrado, Juan Carlos; Montoro, Germán; Gómez, Jesús Gómez

doi:10.1016/j.pmcj.2016.02.003

Cited by 24 publications

(14 citation statements)

References 6 publications

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“…There has also been work in educational facilities other than libraries (Kanakri, Schott, Mitchell, Mohammad, Etters, & Palme, 2016;Stoffell, Schoder, & Ohlbach, 2008). More recently, there is increased focus on wayfinding for people with varying degrees of physical limitations, including cognitively impaired persons (Davis & Ohman, 2016;Torrado, Montoro, & Gomez, 2016), visually impaired persons (Lee, Li, & Lin, 2015;Nguyen, Vu, Tran, & Nguyen, 2017), and even firefighters whose senses are impaired when operating in a smoke-filled building (Hsiao, Tang, Huang, & Lin, 2016). …”

Section: Literature Reviewmentioning

confidence: 99%

“…One of the most commonly used methods is a task completion experiment, employed by Best (1970), Chebat et al (2005), Lee et al (2015), Davis and Ohman (2016), Hsiao et al (2016), Kanakri et al (2016), Nguyen et al (2017), Torrado et al (2016), and Tüzün et al (2016). In these experiments, participants are given predefined tasks to complete.…”

Section: Literature Reviewmentioning

confidence: 99%

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Wayfinding Research in Library and Information Studies: State of the Field

Mandel¹

2017

EBLIP

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the terms of the Creative Commons-AttributionNoncommercial-Share Alike License 4.0 International (http://creativecommons.org/licenses/by-nc-sa/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly attributed, not used for commercial purposes, and, if transformed, the resulting work is redistributed under the same or similar license to this one. AbstractObjective -Often people enter libraries focused on their primary information needs and haven't considered their need for spatial information to find their way to what they need. This presents unique wayfinding information challenges for libraries. Papers on library wayfinding often include some discussion of the lack of wayfinding research in libraries, but apparently there has been no comprehensive review of the LIS literature on wayfinding.Methods -This paper is a comprehensive review of library wayfinding literature, using the Library, Information Science & Technology Abstracts with Full Text (via EBSCOhost) database to collect the dataset.Results -Findings indicate a small collection of library wayfinding research, primarily focused on academic libraries.Conclusion -Empirical research in this area is limited. Suggestions for future research on library wayfinding, including potential foci for that research, are presented.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Wayfinding Research in Library and Information Studies: State of the Field

Mandel¹

2017

EBLIP

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“…AssisT-In used QR codes to help cognitively impaired people navigate inside new and complex environments [42]. QR codes are installed inside the building.…”

Section: Qr Codesmentioning

confidence: 99%

Identification of Markers in Challenging Conditions for People with Visual Impairment Using Convolutional Neural Network

2019

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People with visual impairment face a lot of difficulties in their daily activities. Several researches have been conducted to find smart solutions using mobile devices to help people with visual impairment perform tasks. This paper focuses on using assistive technology to help people with visual impairment in indoor navigation using markers. The essential steps of a typical navigation system are identifying the current location, finding the shortest path to the destination, and navigating safely to the destination using navigation feedback. In this research, the authors proposed a system to help people with visual impairment in indoor navigation using markers. In this system, the authors have re-defined the identification step to a classification problem and used convolutional neural networks to identify markers. The main contributions of this paper are: (1) A system to help people with visual impairment in indoor navigation using markers. (2) Comparing QR codes with Aruco markers to prove that Aruco markers work better. (3) Convolutional neural network has been implemented and simplified to detect the candidate markers in challenging conditions and improve response time. (4) Comparing the proposed model with another model to prove that it gives better accuracy for training and testing.

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“…The former use sensors, such as Wi-Fi, RFID, and UWB sensors, to estimate a user’s current position, and the latter use images obtained from a camera and recognize visual clues, such as objects and scene texts, from the surrounding environment. Among these potential solutions, vision-based methods have received more attention from researchers, and, in particular, systems with color codes have been successfully investigated for use in various applications [ 26 , 27 , 28 , 29 , 30 , 31 , 32 ].…”

Section: Introductionmentioning

confidence: 99%

“…Once a situation is determined, the necessary environmental information is located. In this proposed approach, this information is represented with color QR codes [ 26 , 27 , 28 , 29 , 30 , 31 , 32 ], which require only minor modifications to the environment such as posting special signs and are widely used in real environments. Then, simple computer vision algorithms based on color and edges are applied to detect the codes on a mobile smartphone quickly and reliably.…”

Section: Introductionmentioning

confidence: 99%

A Vision-Based Wayfinding System for Visually Impaired People Using Situation Awareness and Activity-Based Instructions

Kim

2017

Sensors

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A significant challenge faced by visually impaired people is ‘wayfinding’, which is the ability to find one’s way to a destination in an unfamiliar environment. This study develops a novel wayfinding system for smartphones that can automatically recognize the situation and scene objects in real time. Through analyzing streaming images, the proposed system first classifies the current situation of a user in terms of their location. Next, based on the current situation, only the necessary context objects are found and interpreted using computer vision techniques. It estimates the motions of the user with two inertial sensors and records the trajectories of the user toward the destination, which are also used as a guide for the return route after reaching the destination. To efficiently convey the recognized results using an auditory interface, activity-based instructions are generated that guide the user in a series of movements along a route. To assess the effectiveness of the proposed system, experiments were conducted in several indoor environments: the sit in which the situation awareness accuracy was 90% and the object detection false alarm rate was 0.016. In addition, our field test results demonstrate that users can locate their paths with an accuracy of 97%.

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Easing the integration: A feasible indoor wayfinding system for cognitive impaired people

Cited by 24 publications

References 6 publications

Wayfinding Research in Library and Information Studies: State of the Field

Wayfinding Research in Library and Information Studies: State of the Field

Identification of Markers in Challenging Conditions for People with Visual Impairment Using Convolutional Neural Network

A Vision-Based Wayfinding System for Visually Impaired People Using Situation Awareness and Activity-Based Instructions

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