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dc.contributor.author
Katzschmann, Robert K.
dc.contributor.author
Araki, Brandon
dc.contributor.author
Rus, Daniela
dc.date.accessioned
2020-08-04T06:05:19Z
dc.date.available
2020-07-07T21:38:31Z
dc.date.available
2020-07-08T13:09:36Z
dc.date.available
2020-08-04T06:05:19Z
dc.date.issued
2018-03
dc.identifier.issn
1534-4320
dc.identifier.issn
1558-0210
dc.identifier.other
10.1109/TNSRE.2018.2800665
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/425037
dc.identifier.doi
10.3929/ethz-b-000425037
dc.description.abstract
This paper presents ALVU (Array of Lidars and Vibrotactile Units), a contactless, intuitive, hands-free, and discreet wearable device that allows visually impaired users to detect low- and high-hanging obstacles, as well as physical boundaries in their immediate environment. The solution allows for safe local navigation in both confined and open spaces by enabling the user to distinguish free space from obstacles. The device presented is composed of two parts: a sensor belt and a haptic strap. The sensor belt is an array of time-of-flight distance sensors worn around the front of a user's waist, and the pulses of infrared light provide reliable and accurate measurements of the distances between the user and surrounding obstacles or surfaces. The haptic strap communicates the measured distances through an array of vibratory motors worn around the user's upper abdomen, providing haptic feedback. The linear vibration motors are combined with a point-loaded pretensioned applicator to transmit isolated vibrations to the user. We validated the device's capability in an extensive user study entailing 162 trials with 12 blind users. Users wearing the device successfully walked through hallways, avoided obstacles, and detected staircases.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/3.0/
dc.title
Safe Local Navigation for Visually Impaired Users with a Time-of-Flight and Haptic Feedback Device
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 3.0 Unported
dc.date.published
2018-01-31
ethz.journal.title
IEEE Transactions on Neural Systems and Rehabilitation Engineering
ethz.journal.volume
26
en_US
ethz.journal.issue
3
en_US
ethz.pages.start
583
en_US
ethz.pages.end
593
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.publication.place
New York, NY
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02620 - Inst. f. Robotik u. Intelligente Systeme / Inst. Robotics and Intelligent Systems::09689 - Katzschmann, Robert / Katzschmann, Robert
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02620 - Inst. f. Robotik u. Intelligente Systeme / Inst. Robotics and Intelligent Systems::09689 - Katzschmann, Robert / Katzschmann, Robert
ethz.date.deposited
2020-07-07T21:38:41Z
ethz.source
BATCH
ethz.eth
no
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-07-08T13:09:46Z
ethz.rosetta.lastUpdated
2020-08-04T06:05:34Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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