Name
Title | ||
|---|---|---|
Smartphone and Mobile Image Processing for Assisted Living: Health-monitoring apps powered by advanced mobile imaging algorithms. |
Abstract | ||
|---|---|---|
Smartphones are used by billions of people all over the world and are equipped with various types of sensors and increasingly powerful processors. The number of smartphone-savvy seniors is on the rise due to increased efforts to design elderly friendly smartphone systems and applications (apps). These smartphone capabilities, combined with advanced signal processing algorithms, are a growing platf... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/MSP.2016.2549996 | IEEE Signal Processing Magazine |
Keywords | Field | DocType |
Mobile communication,Signal processing algorithms,Biomedical monitoring,Image processing,Assisted living,Biomedical image processing | Computer vision,Computer science,Physiological monitoring,Image processing,Software,Artificial intelligence,Wearable technology,Multimedia,Mobile telephony,Signal processing algorithms | Journal |
Volume | Issue | ISSN |
33 | 4 | 1053-5888 |
Citations | PageRank | References |
5 | 0.45 | 13 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hossein Nejati | 1 | 32 | 5.29 |
| Victor Pomponiu | 2 | 67 | 8.14 |
| Thanh-Toan Do | 3 | 173 | 24.22 |
| Yiren Zhou | 4 | 18 | 2.79 |
| Sahar Iravani | 5 | 5 | 0.45 |
| Ngai-Man Cheung | 6 | 750 | 67.36 |