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2016 | OriginalPaper | Buchkapitel

ISANA: Wearable Context-Aware Indoor Assistive Navigation with Obstacle Avoidance for the Blind

verfasst von : Bing Li, J. Pablo Muñoz, Xuejian Rong, Jizhong Xiao, Yingli Tian, Aries Arditi

Erschienen in: Computer Vision – ECCV 2016 Workshops

Verlag: Springer International Publishing

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Abstract

This paper presents a novel mobile wearable context-aware indoor maps and navigation system with obstacle avoidance for the blind. The system includes an indoor map editor and an App on Tango devices with multiple modules. The indoor map editor parses spatial semantic information from a building architectural model, and represents it as a high-level semantic map to support context awareness. An obstacle avoidance module detects objects in front using a depth sensor. Based on the ego-motion tracking within the Tango, localization alignment on the semantic map, and obstacle detection, the system automatically generates a safe path to a desired destination. A speech-audio interface delivers user input, guidance and alert cues in real-time using a priority-based mechanism to reduce the user’s cognitive load. Field tests involving blindfolded and blind subjects demonstrate that the proposed prototype performs context-aware and safety indoor assistive navigation effectively.

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Vorheriges Kapitel A 3D Human Posture Approach for Activity Recognition Based on Depth Camera

Nächstes Kapitel An Integrated Framework for 24-hours Fire Detection

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http://tinyurl.com/Android-TTS.

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Titel: ISANA: Wearable Context-Aware Indoor Assistive Navigation with Obstacle Avoidance for the Blind
verfasst von: Bing Li
J. Pablo Muñoz
Xuejian Rong
Jizhong Xiao
Yingli Tian
Aries Arditi
Verlag: Springer International Publishing
Buch: Computer Vision – ECCV 2016 Workshops
Print ISBN: 978-3-319-48880-6

Electronic ISBN: 978-3-319-48881-3

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-48881-3_31

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