A novel wayfinding system based on geo-coded qr codes for individuals with cognitive impairments

Abstract

In this paper, we present a wayfinding prototype system based geo-coded QR codes for individuals with cognitive impairments. The design draws upon the cognitive models of spatial navigation and consists of wayfinding devices and a tracking system. Compared to the sensor network approach, it is easy to deploy because of low cost and short time frame. The prototype is tested with routes on a campus where a rehabilitation trained job coach oversees the process. The results show the prototype is user friendly and promising with high reliability.

A State-of-the-Art Survey of Indoor Positioning and Navigation Systems and Technologies

“…In the marker-based method, a mobile phone camera gets visual information using markers, for example QR code, as posited by Chang, Tsai, Chang, and Wang (2007), Mulloni, Wagner, Schmalstieg, and Barakonyi (2009) and Raj, Tolety, and Immaculate (2013). The system consists of a mobile device with camera, QR code and server (Raj et al, 2013).…”

“…The system consists of a mobile device with camera, QR code and server (Raj et al, 2013). The camera of the mobile device is used to capture data by scanning the pattern of the QR code, while the server is used for tracking purposes and storing information such as floor plan map data for retrieval purposes when required (Barberis et al, 2014;Chang et al, 2007;Mulloni et al, 2009).…”

“…Chang et al (2007) posited that it is easy to deploy because of its low cost. In addition, user privacy is protected because real-time positioning and update through a server does not exist for some solutions like the study of Raj et al (2013).…”

“…In addition, user privacy is protected because real-time positioning and update through a server does not exist for some solutions like the study of Raj et al (2013). For some other solutions, the user position is not real-time despite the fact that the mobile device is being tracked (Chang et al, 2007;Mulloni et al, 2009). The user position determined is the position of the marker.…”

“…The camera of the mobile device is used to capture data by scanning the pattern of the marker, while the server is used for position calculation, position determination and real-time tracking and navigation (Chang et al, 2007;Mulloni et al, 2009). AR is the overlay of virtual objects with the real world by using visual markers or images for the purpose of positioning, tracking and navigation (Möller, Kranz, Huitl, Diewald, & Roalter, 2012).…”