Name
Abstract | ||
|---|---|---|
Wearable technology is gaining popularity, with people wearing everything “smart” from clothing to glasses and watches. Present-day wearables are typically battery-powered, and their limited lifetime has become the critical issue. Most devices need recharging every few days or even hours, falling short of the expectations for a truly satisfactory user experience. This paper presents the design, implementation and in-field evaluation of InfiniTime, a novel sensor-rich smart bracelet powered by energy harvesting. It is designed to achieve self-sustainability using solar cells with only modest indoor light levels and thermoelectric generators (TEG’s) with small temperature gradients from the body heat. The wearable device is equipped with an ultra-low power camera and a microphone, in addition to accelerometer and temperature sensors commonly used in commercial devices. Experimental characterization of the fully operational prototype demonstrates a wide range of energy optimization techniques used to achieve self-sustainability with harvested energy only. Our experiments in real-world scenarios show an average of up to 550μW for photovoltaic in indoor and 98μW for TEG with only 3° temperature gradient and up to 250μW for 5° gradient. Simulations using energy intake measurements from solar and TEG modules confirm that InfiniTime achieves self-sustainability with indoor lighting levels and body heat for several realistic applications featuring data acquisition from the on-board camera and multiple sensors, as well as visualization and wireless connectivity. The highly optimized low-power architecture of the presented prototype features image acquisitions at 1.15 frames per second, powered only from the energy harvesters. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.suscom.2016.05.003 | Sustainable Computing: Informatics and Systems |
Keywords | Field | DocType |
Wearable devices,Autonomous systems,Zero-power,Indoor energy harvesting,Human harvesting,Power management | Power management,Accelerometer,Simulation,Thermoelectric generator,Computer science,Wearable computer,Data acquisition,Energy harvesting,Wearable technology,Electrical engineering,Photovoltaic system | Journal |
Volume | Issue | ISSN |
11 | 11 | 2210-5379 |
Citations | PageRank | References |
4 | 0.47 | 0 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michele Magno | 1 | 500 | 59.74 |
| Michele Magno | 2 | 500 | 59.74 |
| Davide Brunelli | 3 | 1038 | 93.98 |
| Lukas Sigrist | 4 | 32 | 4.42 |
| Renzo Andri | 5 | 87 | 6.44 |
| Cavigelli, L. | 6 | 244 | 22.75 |
| Andres Gomez | 7 | 44 | 7.81 |
| Luca Benini | 8 | 13116 | 1188.49 |
| Luca Benini | 9 | 4 | 0.47 |