Navigation aiding stick for the visually impaired

James, Nishant Banat; Harsola, Ashish

doi:10.1109/icgciot.2015.7380656

Cited by 11 publications

(5 citation statements)

References 8 publications

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“…Machine learning methods which are getting numerous attention for researchers nowadays [42], [43] such as particle swarm optimization (PSO) [44] have also been implemented for navigation purposes. [16], [27], [36], [40], [45] [24], [ 25], [27], [46] [30], [32], [33]…”

Section: Discussion On Navigation Techniquesmentioning

confidence: 99%

Methodologies and evaluation of electronic travel aids for the visually impaired people: a review

et al. 2021

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Technological advancements have widely contributed to navigation aids. However, their large-scale adaptation for navigation solutions for visually impaired people haven’t been realized yet. Less participation of the visually impaired subject produces a designer-oriented navigation system which overshadows consumer necessity. The outcome results in trust and safety issues, hindering the navigation aids from really contribute to the safety of the targeted end user. This study categorizes electronic travel aids (ETAs) based on experimental evaluations, highlights the designer-centred development of navigation aids with insufficient participation of the visual impaired community. First the research breaks down the methodologies to achieve navigation, followed by categorization of the test and experimentation done to evaluate the systems and ranks it by maturity order. From 70 selected research articles, 51.4% accounts for simulation evaluation, 24.3% involve blindfolded-sighted humans, 22.9% involve visually impaired people and only 1.4% makes it into production and commercialization. Our systematic review offers a bird’s eye view on ETA development and evaluation and contributes to construction of navigational aids which really impact the target group of visually impaired people.

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Section: Discussion On Navigation Techniquesmentioning

confidence: 99%

Methodologies and evaluation of electronic travel aids for the visually impaired people: a review

et al. 2021

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“…Concerning the walking assistants, the studies [16], [100], [102], [134], [135], [137], [143], [144], [161] report smart sticks or white canes for disabled people using sensors and computer vision techniques according to the convention pointed out in the review about walking assistants in reference [29]. It is important to notice that the authors interchange the terms smart stick or white cane in their works.…”

Section: ) Visual Disability and Impairmentsmentioning

confidence: 99%

“…Besides, the authors added some ultrasonic sensors to detect obstacles and agile the navigation of the person. Some analogous ATs with navigation through GPS and ultrasonic sensors are described in the references [134], [144]. Furthermore, two wearable navigation assistants composed of ultrasonic sensors, voice commands, and vibration motors to provide feedback to the user are explained in documents [142], [147].…”

Section: Educational Devices and Materialsmentioning

confidence: 99%

Low-Cost Assistive Technologies for Disabled People Using Open-Source Hardware and Software: A Systematic Literature Review

Ariza

Pearce

2022

IEEE Access

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Disabled People deal with a series of barriers that limit their inclusion, empowerment, wellbeing, and role in society with a special emphasis in low and medium-income countries. One of these barriers is concerning the accessibility and affordability of assistive technologies (ATs) that help to enhance the quality of life of these persons. In this context, this systematic literature review (SLR) analyzes and describes how free and open-source hardware (OSHW) and open software (OSS) are employed in the design, development, and deployment of low-cost ATs. In the SLR process, different ATs were analyzed for disabilities such as visual, mobility, upper body, prostheses, hearing & speaking, daily living, and participation in society. The ATs were designed with diverse OSHW and OSS technologies such as Arduino, Raspberry Pi, NVidia Jeston, OpenCV, YOLO, MobileNet, EEG and EMG signal conditioning devices, actuators, and sensors such as ultrasonic, LiDar, or flex. 809 studies were collected and analyzed from the database Web of Science, GitHub, and the specialized journals in OSHW HardwareX and the Journal of Open Hardware during the years 2013-2022. In the first part of the SLR, the bibliometric trends and topic clusters regarding the selected studies are described. Secondly, the ATs identified with open source technologies, e.g., sensor-based or computer vision-based, are described along with a complete state-ofart about these based on each disability recognized. Finally, the issues and challenges to this approach are explored including technical factors, documentation, government policies, and the inclusion of disabled people in open source co-creation. The purpose of this study is to inform practitioners, designers, or stakeholders about low-cost (frugal) ATs with OSHW and OSS, and thus promote their development, accessibility, and affordability, contributing to benefit the community of disabled people. INDEX TERMS Assistive technologies, disabled people, persons with disabilities, adaptive aids, open hardware, open-source hardware, open-source software, systematic literature review.

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“…Taking a step further, ultrasonic sensors and GPS module [5] were implemented into the walking stick to provide both obstacle detection and navigation for people with visual impairment. Two sensors are positioned near the handle to detect left and right waist-level obstacle and one sensor at the bottom to detect obstacle in front of the user.…”

Section: Introductionmentioning

confidence: 99%

“…Sonar sensor based devices require less computation and power. However, most of the prototypes were not evaluated for their performance and usability [5]- [7], [11], [12]. Some prototypes [4], [8] used headphones or earpiece to alert the user which is potentially dangerous.…”

Section: Introductionmentioning

confidence: 99%

Finger-Mounted Obstacle Detector for People with Visual Impairment

Ling¹,

Chai²

2019

IJEETC

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Mobility is the ability to move. People with visual impairment has limited mobility as they have limited vision to move safely without colliding against obstacles. This paper presents a wearable device using technology to help people with visual impairment to detect obstacles. The device uses an ultrasonic sensor to obtain real time information of distance between device and obstacles. This information is interpreted into an audio feedback which will alert or notify users the presence of obstacles in their path. The device is small enough to be worn on the finger and direction of detection can be changed by pointing the hand or finger elsewhere. Three experimental testing were conducted to evaluate the prototype. First experiment was to determine the detection rate on indoor and outdoor obstacles of different sizes and shapes in a controlled environment. Second experiment was to test the prototype with participants wearing blindfolds (no vision simulator) and walking in an indoor environment filled with real life obstacles. Third experiment was conducted with participants wearing low vision simulators walking in an outdoor environment. Results showed the prototype works better for people with low vision than no vision. 

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Navigation aiding stick for the visually impaired

Cited by 11 publications

References 8 publications

Methodologies and evaluation of electronic travel aids for the visually impaired people: a review

Methodologies and evaluation of electronic travel aids for the visually impaired people: a review

Low-Cost Assistive Technologies for Disabled People Using Open-Source Hardware and Software: A Systematic Literature Review

Finger-Mounted Obstacle Detector for People with Visual Impairment

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