WO2019198064A3 - A feedback based assistive system and method for visually impaired persons - Google Patents
A feedback based assistive system and method for visually impaired persons Download PDFInfo
- Publication number
- WO2019198064A3 WO2019198064A3 PCT/IB2019/056833 IB2019056833W WO2019198064A3 WO 2019198064 A3 WO2019198064 A3 WO 2019198064A3 IB 2019056833 W IB2019056833 W IB 2019056833W WO 2019198064 A3 WO2019198064 A3 WO 2019198064A3
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- visually impaired
- obstacle
- impaired persons
- user
- feedback based
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B21/00—Teaching, or communicating with, the blind, deaf or mute
- G09B21/001—Teaching or communicating with blind persons
- G09B21/007—Teaching or communicating with blind persons using both tactile and audible presentation of the information
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
- G06F18/24133—Distances to prototypes
- G06F18/24143—Distances to neighbourhood prototypes, e.g. restricted Coulomb energy networks [RCEN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
- G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
- G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
- G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
- G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
Abstract
The present invention relates to a feedback system (100) and method (500) for visually impaired persons. The system (100) comprises an image capturing means (201) mounted on an eyewear (101), proximity sensors (107), a processor (106), audio feedbacks (103,104) and vibration motors (105) mounted on a wearable garment (102) worn by the user. During navigation, the presence of an obstacle in the path of a user is captured via image capturing means (201) and the distance of such obstacle is captured by the proximity sensors (107). The processor (106) processes the inputs using deep learning and depth map mechanism to notify the user about an obstacle via audio feedbacks (103, 104) and vibration motors (105).
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
IN201921027908 | 2019-07-11 | ||
IN201921027908 | 2019-07-11 |
Publications (2)
Publication Number | Publication Date |
---|---|
WO2019198064A2 WO2019198064A2 (en) | 2019-10-17 |
WO2019198064A3 true WO2019198064A3 (en) | 2019-12-19 |
Family
ID=68164870
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/IB2019/056833 WO2019198064A2 (en) | 2019-07-11 | 2019-08-12 | A feedback based assistive system and method for visually impaired persons |
Country Status (1)
Country | Link |
---|---|
WO (1) | WO2019198064A2 (en) |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20150294597A1 (en) * | 2012-10-23 | 2015-10-15 | New York University | Somatosensory feedback wearable object |
KR20180033484A (en) * | 2018-03-23 | 2018-04-03 | 선문대학교 산학협력단 | Wearable information providing device for blind |
-
2019
- 2019-08-12 WO PCT/IB2019/056833 patent/WO2019198064A2/en active Application Filing
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20150294597A1 (en) * | 2012-10-23 | 2015-10-15 | New York University | Somatosensory feedback wearable object |
KR20180033484A (en) * | 2018-03-23 | 2018-04-03 | 선문대학교 산학협력단 | Wearable information providing device for blind |
Also Published As
Publication number | Publication date |
---|---|
WO2019198064A2 (en) | 2019-10-17 |
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