[go: up one dir, main page]

Filipe et al., 2012 - Google Patents

Blind navigation support system based on Microsoft Kinect

Filipe et al., 2012

View PDF
Document ID
7918359858824590375
Author
Filipe V
Fernandes F
Fernandes H
Sousa A
Paredes H
Barroso J
Publication year
Publication venue
Procedia Computer Science

External Links

Snippet

This paper presents a system which extends the use of the traditional white cane by the blind for navigation purposes in indoor environments. Depth data of the scene in front of the user is acquired using the Microsoft Kinect sensor which is then mapped into a pattern …
Continue reading at www.sciencedirect.com (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00362—Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00335—Recognising movements or behaviour, e.g. recognition of gestures, dynamic facial expressions; Lip-reading
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/20—Image acquisition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications

Similar Documents

Publication Publication Date Title
Filipe et al. Blind navigation support system based on Microsoft Kinect
Suman et al. Vision navigator: a smart and intelligent obstacle recognition model for visually impaired users
Poggi et al. A wearable mobility aid for the visually impaired based on embedded 3D vision and deep learning
Sáez et al. Aerial obstacle detection with 3-D mobile devices
Gomez et al. RoboGuideDog: Guiding blind users through physical environments with laser range scanners
Habib et al. Staircase Detection to Guide Visually Impaired People: A Hybrid Approach.
Ni et al. A walking assistant robotic system for the visually impaired based on computer vision and tactile perception
Kumar et al. Artificial intelligence solutions for the visually impaired: A review
Jabnoun et al. Object recognition for blind people based on features extraction
Liyanage et al. Optical flow based obstacle avoidance for the visually impaired
Kumar et al. A Deep Learning Based Model to Assist Blind People in Their Navigation.
Utaminingrum et al. Descending stairs and floors classification as control reference in autonomous smart wheelchair
Mattoccia et al. 3D glasses as mobility aid for visually impaired people
Alam et al. Staircase detection systems for the visually impaired people: a review
Shukla et al. Enhancing user navigation experience, object identification and surface depth detection for" low vision" with proposed electronic cane
Wang et al. An environmental perception and navigational assistance system for visually impaired persons based on semantic stixels and sound interaction
US20080294400A1 (en) Electronic system with simulated sense perception and method of providing simulated sense perception
Afif et al. Deep learning-based application for indoor wayfinding assistance navigation
Meenakshi et al. Development of Mobile App to Support the Mobility of Visually Impaired People.
Ju et al. EYECane: Navigating with camera embedded white cane for visually impaired person
Sun et al. “Watch your step”: precise obstacle detection and navigation for Mobile users through their Mobile service
Sreenivasulu et al. A comparative review on object detection system for visually impaired
Salam et al. Development of upper limb gestures recognition model for hearing and speech impaired patients using convoluted neural network
Manjari et al. QAOVDetect: a novel syllogistic model with quantized and anchor optimized approach to assist visually impaired for animal detection using 3D vision
Alghamdi et al. Safe trajectory estimation at a pedestrian crossing to assist visually impaired people