Survey on User’s Micro-Environment control using Smartphone Sensors in Android

P.S. Borkar¹ , K. M. Surve² , S. S. Punde³ , K. S. Gorde⁴ , S. A. Jaiswal⁵ , S. Y. Jamaiwar⁶

1. Dept. of CSE, Priyadarshini J. L. College of Engineering, RTMNU, India.
2. Dept. of CSE, Priyadarshini J. L. College of Engineering, RTMNU, India.
3. Dept. of CSE, Priyadarshini J. L. College of Engineering, RTMNU, India.
4. Dept. of CSE, Priyadarshini J. L. College of Engineering, RTMNU, India.
5. Dept. of CSE, Priyadarshini J. L. College of Engineering, RTMNU, India.
6. Dept. of CSE, Priyadarshini J. L. College of Engineering, RTMNU, India.

Section:Survey Paper, Product Type: Isroset-Journal
Vol.6 , Issue.2 , pp.100-104, Apr-2018

CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i2.100104

Online published on Apr 30, 2018

Copyright © P.S. Borkar, K. M. Surve, S. S. Punde, K. S. Gorde, S. A. Jaiswal, S. Y. Jamaiwar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

View this paper at   Google Scholar | DPI Digital Library

XML View     PDF Download

How to Cite this Paper

383 Views    198 Downloads    119 Downloads

Abstract :
Context-awareness is obtaining more and more necessary for a variety of mobile and pervasive applications on these days good phones. Whereas human-centric contexts (e.g., indoor/ out of doors, at home/in workplace, driving/walking) are extensively researched, few makes an attempt have studied from phones perspective (e.g., on table/sofa, in pocket/bag/hand). We have a tendency to see such immediate surroundings as micro atmosphere, typically many to a dozen of centimetres, around a phone. In this study, we have a tendency to style and implement micro-environment sensing platform that mechanically records detector hints and characterizes the micro-environment of good phones. The platform runs as a daemon method on a wise phone and provides finer-grained atmosphere data to higher layer applications via programming interfaces.

Key-Words / Index Term :
Context-awareness, micro-environment

References :
[1] Z. Yang, L. Shangguan, W. Gu, Z. Zhou, C. Wu and Y. Liu, “Sherlock: Micro-environment Sensing for Smartphones”, IEEE Transactions on Parallel and Distributed Systems , Vol 2. Issue 3, 2013
[2] Derick A. Johnson and Mohan M. Trivedi, “Driving Style Recognition Using a Smartphone as a Sensor Platform”, Laboratory for Intelligent and Safe Automobiles (LISA) University of California, San Diego La Jolla
[3] Intelligent Transportation Systems Washington, DC, USA. Pp.1609-1615, 2011
[4] Jilong Liao, Zhibo Wang, Lipeng Wan, Qing Cao and Hairong Qi, “Smart Diary: A Smartphone-based Framework for Sensing, Inferring and Logging Users’ Daily Life”, pp.4-12, 2013
[5] Jennifer R. Kwapisz, Gary M. Weiss, Samuel A. Moore, “Activity Recognition using Cell Phone Accelerometers”, IEEE 2014
[6] Activity recognition with smartphone sensors by Stefan Dernbach. Pp. 121-133
[7] Zhibo Wang, Jilong Liao, Qing Cao, Hairong Qi and Zhi Wang, “Friendbook: A Semantic-based Friend Recommendation System for Social Networks”, IEEE, 2013
[8] J. Dai, X. Bai, Z. Yang, Z. Shen, D. Xuan. “PerFallD: A Pervasive Fall Detection System Using Mobile Phones.” In PervasiveHealth’10, 2010.
[9] Prashanth Mohan, Venkata N. Padmanabhan, Ramchandran Ramjee. “Nericell: Rich Monitoring of Road and Traffic Conditionsusing Mobile Smartphones” In Mobisys 2010
[10] Marjorie Skubic 1, (Senior Member, IEEE), Rainer Dane Guevara 1, 2, and Marilyn Rantz 3, (Member, IEEE). Automated Health Alerts Using In-Home Sensors.