Name
Abstract | ||
|---|---|---|
The rise of consumer wearables promises to have a profound impact on peoples lives by going beyond counting steps. Wearables such as eSense - an in-ear multisensory stereo device - for personal-scale behavior analytics could help accelerate our understanding of a wide range of human activities in a nonintrusive manner. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/MPRV.2018.03367740 | IEEE Pervasive Computing |
Keywords | Field | DocType |
Sensors,Signal to noise ratio,Batteries,Monitoring,Biomedical monitoring,Gyroscopes,Real-time systems | Wearable computer,Computer science,Signal-to-noise ratio,Human–computer interaction,Ubiquitous computing,Analytics | Journal |
Volume | Issue | ISSN |
17 | 3 | 1536-1268 |
Citations | PageRank | References |
8 | 0.83 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fahim Kawsar | 1 | 909 | 80.24 |
| Chulhong Min | 2 | 362 | 30.13 |
| Akhil Mathur | 3 | 101 | 15.10 |
| Allesandro Montanari | 4 | 8 | 0.83 |