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Evaluation of Smartphone Inertial Sensor Performance for Cross-Platform Mobile Applications
Anton Kos1, Sašo Tomažič2, Anton Umek3
1Faculty of Electrical Engineering, University of Ljubljana, Ljubljana 1000, Slovenia. anton.kos@fe.uni-lj.si.
Sensors (Basel, Switzerland)
|April 7, 2016
Summary
A new mobile app collects smartphone sensor data, like accelerometer and gyroscope bias, to help developers build cross-platform applications. This resource provides valuable insights into sensor performance across various devices.
Area of Science:
- Mobile computing
- Sensor technology
- Data science
Background:
- Smartphone sensors are integral to mobile applications.
- Sensor performance variability across devices complicates cross-platform development.
- A centralized data resource is needed for sensor parameters.
Purpose of the Study:
- To develop a participatory sensing application for collecting smartphone sensor data.
- To establish a database of real-world smartphone sensor parameters.
- To aid cross-platform mobile application developers.
Main Methods:
- Designed and implemented a pilot participatory sensing mobile application.
- Collected accelerometer and gyroscope bias and noise parameters.
- Aggregated data from over 60 diverse smartphone models.
Main Results:
- Established a database with sensor parameters from 60+ smartphone models.
- Provided statistical insights into smartphone sensor performance.
- Demonstrated the feasibility of participatory sensing for sensor data collection.
Conclusions:
- The developed application offers a valuable resource for cross-platform developers.
- The database provides insights into smartphone sensor variability.
- Future work includes a large-scale, cloud-based version for broader accessibility.
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