Name
Abstract | ||
|---|---|---|
Data produced by wearable sensors is key in contexts such as performance enhancement and training help for sports and fitness, continuous monitoring for aging people and for chronic disease management, and in gaming and entertainment. Unfortunately, wearable devices currently in the market are either incapable of complex functionality or severely impaired by short battery lifetime. In this work, w... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/THMS.2016.2623482 | IEEE Transactions on Human-Machine Systems |
Keywords | Field | DocType |
Context,Wearable sensors,Microcontrollers,Sensor systems,Cameras,Smart phones | TI MSP430,Wearable computer,Computer science,Convolutional neural network,Real-time computing,Microcontroller,Wearable technology,Energy consumption,Smartwatch,Speedup | Journal |
Volume | Issue | ISSN |
47 | 1 | 2168-2291 |
Citations | PageRank | References |
6 | 0.51 | 45 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francesco Conti 0001 | 1 | 125 | 18.24 |
| Daniele Palossi | 2 | 41 | 6.12 |
| Renzo Andri | 3 | 87 | 6.44 |
| Michele Magno | 4 | 500 | 59.74 |
| Luca Benini | 5 | 13116 | 1188.49 |