NAVI – A Proof-of-Concept of a Mobile Navigational Aid for Visually Impaired Based on the Microsoft Kinect

Zöllner, Michael; Huber, Stephan; Jetter, Hans-Christian; Reiterer, Harald

doi:10.1007/978-3-642-23768-3_88

Cited by 78 publications

(46 citation statements)

References 8 publications

(11 reference statements)

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“…We build on these ideas by investigating in greater detail how sounds from wearables can be used to support active play and independent movement. Others have used wearables for vibration (e.g., [7,9,25,36]) but we focus on sound for a first investigation of this area.…”

Section: Sound From Wearablesmentioning

confidence: 99%

Audible Beacons and Wearables in Schools

Freeman

Wilson

Brewster

et al. 2017

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

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Young children with visual impairments tend to engage less with their surroundings, limiting the benefits from activities at school. We investigated novel ways of using sound from a bracelet, such as speech or familiar noises, to tell children about nearby people, places and activities, to encourage them to engage more during play and help them move independently. We present a series of studies, the first two involving visual impairment educators, that give insight into challenges faced by visually impaired children at school and how sound might help them. We then present a focus group with visually impaired children that gives further insight into the effective use of sound. Our findings reveal novel ways of combining sounds from wearables with sounds from the environment, motivating audible beacons, devices for audio output and proximity estimation. We present scenarios, findings and a design space that show the novel ways such devices could be used alongside wearables to help visually impaired children at school.

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Section: Sound From Wearablesmentioning

confidence: 99%

Audible Beacons and Wearables in Schools

Freeman

Wilson

Brewster

et al. 2017

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

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“…Okayasu [3] proposed a cane-type system to detect obstacles by using ultrasonic sensors. Zöllner et al [4] and Bernabei et al [5] proposed obstacle detection systems based on Microsoft Kinect sensors. These systems can detect objects as obstacles in their environments, but they cannot recognize the objects.…”

Section: Introductionmentioning

confidence: 99%

Recognition of elevators with the Kinect cane system for the visually impaired

Kuramochi

Takizawa

Aoyagi

et al. 2014

2014 IEEE/SICE International Symposium on System Integration

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This paper proposes a method of recognizing elevators in corridor scenes by using our Kinect cane system for the visually impaired. The proposed method recognizes elevator doors by applying the RANSAC algorithm to depth data obtained by a Kinect sensor. The method is applied to actual corridor scenes that include various types of elevator. The experimental results indicate that the system is promising as a means of recognizing elevators in corridor scenes.

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“…(These systems can also detect obstacles by using laser range sensors [31] or the Kinect sensors [32] [33].) The RFID tags and printed AR markers are reliable and inexpensive, but it is difficult in practice to deploy them to large-scale infrastructures for everyday life.…”

Section: Introductionmentioning

confidence: 99%

“…Several research groups attempt to create navigation systems that can recognize facilities such as classroom doors by use of radio frequency identification (RFID) tags [31] or printed augmented reality (AR) markers [32][33] that are attached to the facilities. (These systems can also detect obstacles by using laser range sensors [31] or the Kinect sensors [32] [33].)…”

Section: Introductionmentioning

confidence: 99%

Kinect cane: Object recognition aids for the visually impaired

Takizawa

Yamaguchi

Aoyagi

et al. 2013

2013 6th International Conference on Human System Interactions (HSI)

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This paper proposes a novel concept for helping the visually impaired know what kind of object there is in an environment. This concept is implemented as a cane system that selects a target object based on a user's demand, recognizes the object from depth data obtained by a Microsoft Kinect sensor, and returns the recognition results via a tactile device. The proposed system is evaluated through a user study where one blindfolded subject actually uses the system to find chairs in an experimental environment. The experimental results indicate that the system is promising as means of helping the visually impaired recognize objects.

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NAVI – A Proof-of-Concept of a Mobile Navigational Aid for Visually Impaired Based on the Microsoft Kinect

Cited by 78 publications

References 8 publications

Audible Beacons and Wearables in Schools

Audible Beacons and Wearables in Schools

Recognition of elevators with the Kinect cane system for the visually impaired

Kinect cane: Object recognition aids for the visually impaired

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