Name
Abstract | ||
|---|---|---|
Through a combination of wearable cameras, hardware accelerators, and algorithms, a vision-based automatic shopping assistant allows users with limited or no sight to select products from grocery shelves. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/MC.2017.36 | IEEE Computer |
Keywords | Field | DocType |
Cameras,Navigation,Visualization,Feature extraction,Asssistive technology,Object recognition,Haptic interfaces,Pervasive computing | Wearable computer,Visualization,Computer science,Sight,Third eye,Ubiquitous computing,Multimedia | Journal |
Volume | Issue | ISSN |
50 | 2 | 0018-9162 |
Citations | PageRank | References |
3 | 0.42 | 4 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peter A. Zientara | 1 | 3 | 1.44 |
| Sooyeon Lee | 2 | 4 | 1.45 |
| Gus H. Smith | 3 | 3 | 0.42 |
| Rorry Brenner | 4 | 3 | 0.42 |
| Laurent Itti | 5 | 7105 | 619.41 |
| Mary Beth Rosson | 6 | 4350 | 613.74 |
| John M. Carroll | 7 | 4950 | 1233.96 |
| Kevin Irick | 8 | 180 | 18.36 |
| Narayanan Vijaykrishnan | 9 | 6955 | 524.60 |