2019
DOI: 10.18178/ijeetc.8.1.57-64
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Finger-Mounted Obstacle Detector for People with Visual Impairment

Abstract: 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 pat… Show more

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Cited by 2 publications
(3 citation statements)
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“…We also observed that 16 studies (26.23%) reported smartphone connection. The use of smartphones varied from processing units [28], [34], [47], [54], capturing devices -camera [54], [64] and GPS [69] -, external communication [58], [67], [70] and user interface [1], [28], [47], [49], [62]- [64], [68], [70]. Gao et al [36] reported Bluetooth connection from prototype to smartphone.…”
Section: ) Computer and Smartphone Connectionmentioning
confidence: 99%
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“…We also observed that 16 studies (26.23%) reported smartphone connection. The use of smartphones varied from processing units [28], [34], [47], [54], capturing devices -camera [54], [64] and GPS [69] -, external communication [58], [67], [70] and user interface [1], [28], [47], [49], [62]- [64], [68], [70]. Gao et al [36] reported Bluetooth connection from prototype to smartphone.…”
Section: ) Computer and Smartphone Connectionmentioning
confidence: 99%
“…The user interface was provided as output either by warning the user through voice commands, as observed in Bai et al [28], Ling et al [1], Siddhartha et al [62], Takefuji et al [68], or as a smartphone application featured in Lee and Medioni [49], Silva and Wimalaratne [63], [64], and Vignesh et al [70]. In Lee and Medioni [49], the user could choose where to go from a list of registered places or translate the names of the places by speech recognition.…”
Section: ) Computer and Smartphone Connectionmentioning
confidence: 99%
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