Name
Title | ||
|---|---|---|
A Feasibility Study on Battery-Less Travel Context Estimation Using Ambient Backscatter |
Abstract | ||
|---|---|---|
Wearable devices are spreading for various applications. However, many users quit using them partly because of the maintenance cost for charging or replacing batteries. To overcome the problem, some manufactures have applied energy harvesting to wearable devices. Nevertheless, the performance of such devices is still limited due to the limited amount of harvested energy. In this paper, we investigate a novel design of cooperative wearable devices to enhance its performance in terms of reliability and accuracy. Our key idea is applying ambient backscatter to battery-less (i.e. energy harvest) wearable devices for wireless communication among them. Ambient backscatter is an emerging technology which achieves ultra-low power wireless communication. We focus on travel context estimation as a target application and design a framework by combining battery-less wearable devices and ambient backscatter. Since the energy of the battery-less devices is still limited, the framework should be energy efficient. We carefully design the division of tasks considering the classification algorithm. The experimental results show our frame work achieves 92% accuracy while the energy consumption is up to $52.94\ \mu \mathbf{W}$, which is sufficient to work with the energy harvesting. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/PERCOMW.2019.8730700 | 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) |
Keywords | Field | DocType |
Sensors,Backscatter,Estimation,Energy consumption,Feature extraction,Performance evaluation,Accelerometers | Wireless,Accelerometer,Computer science,Efficient energy use,Backscatter,Energy harvesting,Electronic engineering,Wearable technology,Battery (electricity),Energy consumption,Distributed computing | Conference |
ISSN | ISBN | Citations |
2474-2503 | 978-1-5386-9151-9 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Toru Maeda | 1 | 0 | 0.34 |
| Akira Uchiyama | 2 | 78 | 14.48 |
| Higashino, T. | 3 | 19 | 15.19 |