SmartBFA: A Passive Crowdsourcing System for Point-to-Point Barrier-Free Access

Kamaldin, Nazir; Kee, Susan; Kong, Songwei; Lee, Chengkai; Liang, Heyi; Saini, Alisha; Tan, Hwee-Pink

doi:10.1109/lcn44214.2019.8990857

Cited by 6 publications

(5 citation statements)

References 11 publications

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“…travel along the routes [51], [52]. While it had previously been difficult to implement routing systems based on such qualities in scale due to the effort required by participants, recent improvements in machine learning have led to the development of techniques which allow various accessibility and safety qualities to be inferred automatically from public data sets (such as identifying zebra-crossings from satellite images [83], [84]) or with less effort by participants (such as a passive crowdsensing approach proposed by Kamaldin et al [85] which automatically detects surface type conditions for wheelchair users or the Moving Wheels [86] which automatically detects obstacles such as steps or ramps from crowd-sourced wheelchair users). A particularly promising research direction that we believe should be further investigated is the use of a semi-automatic approach where users are asked to verify the result of less certain predictions from machine learning models [87].…”

Section: Discussionmentioning

confidence: 99%

Beyond the Shortest Route: A Survey on Quality-Aware Route Navigation for Pedestrians

et al. 2020

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Navigation systems often aid users when traveling in unfamiliar locations. Current navigation systems tend to focus on identifying the shortest or fastest routes between two points. However, path cost expressed in terms of length and distance (i.e., the utilitarian qualities of travel) is only one attribute which could be used in route recommendation. Recent years have seen navigation systems moving beyond such utilitarian attributes. These include systems aimed at providing users with scenic, safe or attractive routes among other dimensions. In this paper, we contribute to the existing research domain by providing an overview of the different quality-aware route navigation systems that have been proposed in past research for pedestrians. In particular, we examine the different qualities which have been used as key criteria in route recommendation. As the outcome of the paper, we provide a categorization of these systems based on our proposed SWEEP taxonomy. In addition, we outline the various data sources, algorithms and evaluation approaches that have been used to implement quality-aware route navigation systems. Afterwards, we conclude by discussing potential problems encountered in previous studies and highlight promising directions for future research.

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Section: Discussionmentioning

confidence: 99%

Beyond the Shortest Route: A Survey on Quality-Aware Route Navigation for Pedestrians

et al. 2020

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“…Kamaldin et al [99] introduced SmartBFA, an IoT system that provides peer-to-peer accessible information for persons with disabilities. They deployed GPS and an inertial measurement unit on electric wheelchairs.…”

Section: Accessibilitymentioning

confidence: 99%

Sensors on Internet of Things Systems for the Sustainable Development of Smart Cities: A Systematic Literature Review

Zeng,

Pang,

Tang

2024

Sensors

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The Internet of Things (IoT) is a critical component of smart cities and a key contributor to the achievement of the United Nations Sustainable Development Goal (UNSDG) 11: Sustainable Cities and Communities. The IoT is an infrastructure that enables devices to communicate with each other over the Internet, providing critical components for smart cities, such as data collection, generation, processing, analysis, and application handling. IoT-based applications can promote sustainable urban development. Many studies demonstrate how the IoT can improve smart cities’ sustainable development. This systematic literature review provides valuable insights into the utilization of the IoT in the context of smart cities, with a particular focus on its implications for sustainable urban development. Based on an analysis of 73 publications, we discuss the role of IoT in the sustainable development of smart cities, focusing on smart communities, smart transportation, disaster management, privacy and security, and emerging applications. In each domain, we have detailed the attributes of IoT sensors. In addition, we have examined various communication technologies and protocols suitable for transmitting sensor-generated data. We have also presented the methods for analyzing and integrating these data within the IoT application layer. Finally, we identify research gaps in the literature, highlighting areas that require further investigation.

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“…For example, in order to encourage more users to become data contributors, some systems use game elements to entice users to join [57,59,63]. There has also been work focusing on combining crowdsourcing with other technologies, such as Google Street View, computer vision, machine learning (ML), and the Internet of Things, [28,29,36,47] to collect physical accessibility data. The Sidewalk project, in particular, leverages Google Street View, crowdsourcing, and gaming to map out the accessibility of the sidewalks in a city, including curb ramps, places without curb ramps, sidewalk obstacles, surface problems, the lack of a sidewalk, and so on [63].…”

Section: Urban Accessibility For Wheelchair Usersmentioning

confidence: 99%

Alignment Work for Urban Accessibility: A Study of How Wheelchair Users Travel in Urban Spaces

Ding

Dai

et al. 2022

Proc. ACM Hum.-Comput. Interact.

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Mobility is the key for people with disabilities to have full participation in life. To support their mobility, previous work primarily focused on accessibility as an attribute of the external environment to be evaluated, labeled, visualized, and improved. Relatively less work has looked at how people with disabilities go out and move around in practice and work to achieve mobility. This paper presents a qualitative study of 14 wheelchair users' travel practices in everyday life in China, highlighting urban accessibility as alignment work -- the use of an awareness of the conditions along the journey to continuously align and re-align various resources to ensure accessibility and mobility across contexts and moments. By highlighting alignment work, we present another side of the story of urban accessibility, and broaden design considerations to support mobility for wheelchair users.

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SmartBFA: A Passive Crowdsourcing System for Point-to-Point Barrier-Free Access

Cited by 6 publications

References 11 publications

Beyond the Shortest Route: A Survey on Quality-Aware Route Navigation for Pedestrians

Beyond the Shortest Route: A Survey on Quality-Aware Route Navigation for Pedestrians

Sensors on Internet of Things Systems for the Sustainable Development of Smart Cities: A Systematic Literature Review

Alignment Work for Urban Accessibility: A Study of How Wheelchair Users Travel in Urban Spaces

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