Development of Sensors on Android Platform
Akhilesh Kumar Sharma1, Brijendra Kumar Sharma2
1Akhilesh Kumar Sharma, M.Tech. Scholar, Department of Robotics and Automation, Gurugobind Singh Indraprastha University, Dwarla Sector 16, New Delhi, India.
2Brijendra Kumar Sharma, M.Tech. Scholar, Department of Robotics and Automation, Gurugobind Singh Indraprastha University, Dwarla Sector 16, New Delhi, India.
Manuscript received on 13 April 2017 | Revised Manuscript received on 20 April 2017 | Manuscript Published on 30 April 2017 | PP: 10-14 | Volume-6 Issue-4, April 2017 | Retrieval Number: D4876046417/17©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Mobile phones play increasingly bigger role in our everyday lives. Today, most smart phones comprise a wide variety of sensors which can sense the physical environment. In this research, we propose and demonstrate my DAM4GSN architecture to capture sensor data using sensors built into the mobile phones. Specifically, we combine an open source sensor data stream processing engine called ‘Global sensor n/w (GSN)’ with the android platform to capture sensor data. We present the design, implementation, evaluation, and user experiences of the Cence-me application, which represents the first system that combines the inference of the presence of individual using offthe self sensor enabled mobile phones with sharing of this information through social networking applications such as facebook and my-space. An android based application that monitors the vehicle through an On Board Diagnostics (OBD-2) interface, being able to detect accidents.
Keywords: DAM4GSN Architecture, Cence-Me Application, On Board Diagonstics (OBD-2) Interface.
Scope of the Article: Wearable Sensors