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Therefore, a developer should be well aware of the performance parameters of a particular type of sensors that can potentially be used in the application being developed for targeted smartphone platforms. A cross-platform application should be able to work with any targeted sensor type used in any targeted smartphone platform. One of the challenges is also the variability of parameters of a particular sensor type in various smartphone models. The abundance of different sensor types and sensor count heterogeneity of smartphone models are posing a great challenge to the developers of cross-platform applications. Depending on the particular smartphone model, the sensor count may include an accelerometer, gyroscope, compass, GPS, microphone, camera, proximity sensor, light sensor, temperature sensor, pressure sensor, etc. Today’s smartphones incorporate numerous sensors. In recent years the majority of mobile applications have been developed primarily for smartphones. In regard to the abovementioned, such tools will become more and more important in the coming years.
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To reduce the cross-platform development costs and to reach to as many users as possible, the development is shifting to cross-platform development tools. This concept is giving way to the cross-platform application development, where an application is simultaneously developed for several platforms. In the single-platform development concept, an application is first developed for a specific platform, and if successful, it may later be developed for other platforms.
Android phones with gyroscope 2016 software#
The development of mobile applications is becoming more challenging with the availability of many different platforms and their dedicated single-platform software development kits.
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The need for rapid application development and deployment has never been greater. Mobile applications are a very important segment in the software market and the competition in the mobile application market is fiercer every year. It may also be interesting for individual participants who would be able to check-up and compare their smartphone sensors against a large number of similar or identical models. The large database of smartphone sensor parameters may prove particularly useful for cross-platform developers. The next step, a large-scale cloud-based version of the application, is already planned. It is a modest, but important start, offering information on several statistical parameters of the measured smartphone sensors and insights into their performance. The application database presently includes sensor parameters of more than 60 different smartphone models of different platforms. We start with smartphone accelerometer and gyroscope bias and noise parameters. To address this issue we have designed and implemented a pilot participatory sensing application for measuring, gathering, and analyzing smartphone sensor parameters. A publicly accessible resource containing real-life-situation smartphone sensor parameters could be of great help for cross-platform developers. The performance of sensors varies considerably among different smartphone models and the development of a cross-platform mobile application might be a very complex and demanding task. Smartphone sensors are being increasingly used in mobile applications.