Name
Title | ||
|---|---|---|
Improving Always-On Gesture Recognition Power Efficiency for Android Devices Using Sensor Hubs |
Abstract | ||
|---|---|---|
In mobile user interaction scenarios, gesture recognition applications often process inertial sensor data and run continuously to reduce latency. In this paper, we evaluate real-life efficiency gains of gesture detection on-loading onto microcontroller-based sensor subsystems (sensor hubs). To this end, we implement smartphone wakeup gestures in two ways: (1) running on the Application Processing Unit (APU) that activates and unlocks the screen of an Android smartphone and (2) running on a sensor hub as interaction composite sensors that can directly wake up the APU through an interrupt line. We show that the sensor hub architecture can massively improve battery life in smartphones over the APU-based app while still enabling these new continuous sensing applications. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/CSE-EUC-DCABES.2016.162 | 2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES) |
Keywords | Field | DocType |
always-on gesture recognition power efficiency,APU,application processing unit,smart phone wakeup gestures,microcontroller-based sensor subsystems,gesture detection on-loading,mobile user interaction,sensor hubs,Android devices | Interrupt,Electrical efficiency,Android (operating system),Gesture,Computer science,Sensor hub,Gesture recognition,Microcontroller,Computer hardware,Embedded system,Humanoid robot | Conference |
ISBN | Citations | PageRank |
978-1-5090-3594-6 | 0 | 0.34 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Johann-Peter Wolff | 1 | 2 | 2.10 |
| Sebastian Stieber | 2 | 0 | 1.01 |
| Tobias Rankl | 3 | 0 | 0.34 |
| Rainer Dorsch | 4 | 135 | 12.60 |