Intelligent path guidance robot for blind person assistance

Toha, Siti Fauziah; Yusof, Hazlina Md; Razali, Mohd Fakhruddin; Halim, Abdul Hadi Abdul

doi:10.1109/iciev.2015.7334040

Cited by 10 publications

(3 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Camera based wayfinding techniques include SLAM [36], Microsoft Kinect [37]- [39], novel liquid sound navigation [40] and FL2-0352 camera [41]. 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

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Discussion On Navigation Techniquesmentioning

confidence: 99%

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

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…A robot-based path guidance and obstacle detector was proposed in [7]. To use the robot, the user is required to attach a stick on the robot.…”

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

View full text Add to dashboard Cite

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. 

show abstract