Smartphone Navigation Support for Blind and Visually Impaired People - A Comprehensive Analysis of Potentials and Opportunities

Kuriakose, Bineeth; Shrestha, Raju; Sandnes, Frode Eika

doi:10.1007/978-3-030-49108-6_41

Cited by 16 publications

(13 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many navigation systems for BVI people have used smartphones because smartphones have numerous sensors, such as accelerometers, gyroscopes, magnetometers, proximity sensors, GPS, microphones, barometers, cameras, and Time of Flight (ToF) sensors and connectivity technologies, such as Wi-Fi, Bluetooth, Near Field Communication (NFC) and Cellular Connectivity [ 19 ].…”

Section: Related Workmentioning

confidence: 99%

Outdoor Localization Using BLE RSSI and Accessible Pedestrian Signals for the Visually Impaired at Intersections

Shin

McConville

Metatla

et al. 2022

Sensors

View full text Add to dashboard Cite

One of the major challenges for blind and visually impaired (BVI) people is traveling safely to cross intersections on foot. Many countries are now generating audible signals at crossings for visually impaired people to help with this problem. However, these accessible pedestrian signals can result in confusion for visually impaired people as they do not know which signal must be interpreted for traveling multiple crosses in complex road architecture. To solve this problem, we propose an assistive system called CAS (Crossing Assistance System) which extends the principle of the BLE (Bluetooth Low Energy) RSSI (Received Signal Strength Indicator) signal for outdoor and indoor location tracking and overcomes the intrinsic limitation of outdoor noise to enable us to locate the user effectively. We installed the system on a real-world intersection and collected a set of data for demonstrating the feasibility of outdoor RSSI tracking in a series of two studies. In the first study, our goal was to show the feasibility of using outdoor RSSI on the localization of four zones. We used a k-nearest neighbors (kNN) method and showed it led to 99.8% accuracy. In the second study, we extended our work to a more complex setup with nine zones, evaluated both the kNN and an additional method, a Support Vector Machine (SVM) with various RSSI features for classification. We found that the SVM performed best using the RSSI average, standard deviation, median, interquartile range (IQR) of the RSSI over a 5 s window. The best method can localize people with 97.7% accuracy. We conclude this paper by discussing how our system can impact navigation for BVI users in outdoor and indoor setups and what are the implications of these findings on the design of both wearable and traffic assistive technology for blind pedestrian navigation.

show abstract

Section: Related Workmentioning

confidence: 99%

Outdoor Localization Using BLE RSSI and Accessible Pedestrian Signals for the Visually Impaired at Intersections

Shin

McConville

Metatla

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…A comparison was done from distinct perspectives (objectives/functions, input/output, data processing, algorithms, and evaluation of the solution). The capabilities of a smartphone to help BVIP in their navigation are discussed by Kuriakose et al [ 19 ]. They identified the advantages and limitations of six smartphone applications [ 19 ].…”

Section: Related Workmentioning

confidence: 99%

“…The capabilities of a smartphone to help BVIP in their navigation are discussed by Kuriakose et al [ 19 ]. They identified the advantages and limitations of six smartphone applications [ 19 ]. Budrionis et al [ 18 ] and Kuriakose et al [ 19 ] included a limited number of navigation systems.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

A Systematic Review of Urban Navigation Systems for Visually Impaired People

El-taher

Taha

Courtney

et al. 2021

Sensors

View full text Add to dashboard Cite

Blind and Visually impaired people (BVIP) face a range of practical difficulties when undertaking outdoor journeys as pedestrians. Over the past decade, a variety of assistive devices have been researched and developed to help BVIP navigate more safely and independently. In addition, research in overlapping domains are addressing the problem of automatic environment interpretation using computer vision and machine learning, particularly deep learning, approaches. Our aim in this article is to present a comprehensive review of research directly in, or relevant to, assistive outdoor navigation for BVIP. We breakdown the navigation area into a series of navigation phases and tasks. We then use this structure for our systematic review of research, analysing articles, methods, datasets and current limitations by task. We also provide an overview of commercial and non-commercial navigation applications targeted at BVIP. Our review contributes to the body of knowledge by providing a comprehensive, structured analysis of work in the domain, including the state of the art, and guidance on future directions. It will support both researchers and other stakeholders in the domain to establish an informed view of research progress.

show abstract

“…The developments in artificial intelligence (AI)-in object detection using machine learning algorithms, location identification using sensors, etc.-can be exploited to understand the environment during navigation. The developments in smartphone technologies have also opened up new possibilities in navigation system design [22][23][24]. One key challenge is how to communicate the information in a simple and understandable form to the user, especially as other senses (touch, hearing, smell and taste) have lower bandwidths than vision [13].…”

Section: Introductionmentioning

confidence: 99%

Multimodal Navigation Systems for Users with Visual Impairments—A Review and Analysis

Kuriakose

Shrestha

Sandnes

2020

MTI

Self Cite

View full text Add to dashboard Cite

Multimodal interaction refers to situations where users are provided with multiple modes for interacting with systems. Researchers are working on multimodality solutions in several domains. The focus of this paper is within the domain of navigation systems for supporting users with visual impairments. Although several literature reviews have covered this domain, none have gone through the research synthesis of multimodal navigation systems. This paper provides a review and analysis of multimodal navigation solutions aimed at people with visual impairments. This review also puts forward recommendations for effective multimodal navigation systems. Moreover, this review also presents the challenges faced during the design, implementation and use of multimodal navigation systems. We call for more research to better understand the users’ evolving modality preferences during navigation.

show abstract

Smartphone Navigation Support for Blind and Visually Impaired People - A Comprehensive Analysis of Potentials and Opportunities

Cited by 16 publications

References 29 publications

Outdoor Localization Using BLE RSSI and Accessible Pedestrian Signals for the Visually Impaired at Intersections

Outdoor Localization Using BLE RSSI and Accessible Pedestrian Signals for the Visually Impaired at Intersections

A Systematic Review of Urban Navigation Systems for Visually Impaired People

Multimodal Navigation Systems for Users with Visual Impairments—A Review and Analysis

Contact Info

Product

Resources

About