Mobile Sensor Data Collecting System Based on Smart Phone

被引:0
作者
Zhen, Chen [1 ]
Qiang, Gao [2 ]
机构
[1] Beihang Univ, Sinofrench Engn Sch, Beijing 100191, Peoples R China
[2] Beihang Univ, Dept Elect & Informat Engn, Beijing 100191, Peoples R China
来源
PERVASIVE COMPUTING AND THE NETWORKED WORLD | 2014年 / 8351卷
关键词
Smart Phone; Sensing; Energy Consumption; Privacy; NETWORKS;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Smart phone applications are widely used with technological development of embedded sensors which bring the functions of sensing, communicating and computing to users. Large sets of sensor data (GPS, Bluetooth, compass, etc.) are exploited to the research of human behaviors and human social activities, but collecting a large scale dataset bears many problems. GPSTracker, a mobile application using embedded GPS module and Bluetooth module to collect mobile and interactive data with server/client architecture, is designed. This data collecting system based on smart phone of Android platform, which gives solutions to major problems of data collecting experiment in the aspects of usability, energy consumption, privacy and incentives for users to keep running it on their device for long-term. The performance analysis after a series of tests shows that GPSTracker is acceptable to users and has a high efficiency of data collection. It's effective in controlling energy consumption and privacy.
引用
收藏
页码:8 / +
页数:2
相关论文
共 50 条
[21]   Is there enough trust for the smart city? exploring acceptance for use of mobile phone data in oslo and tallinn [J].
Julsrud, Tom Erik ;
Krogstad, Julie Runde .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2020, 161
[22]   A Study on the Forensic Data Extraction Method for SMS, Photo and Mobile Image of Google Android and Windows Mobile Smart Phone [J].
Chun, Woo-Sung ;
Park, Dea-Woo .
CONVERGENCE AND HYBRID INFORMATION TECHNOLOGY, 2012, 310 :654-663
[23]   ZigBee Smart Sensor System with Distributed Data Processing [J].
Alexandrov, Alexander ;
Monov, Vladimir .
INTELLIGENT SYSTEMS'2014, VOL 2: TOOLS, ARCHITECTURES, SYSTEMS, APPLICATIONS, 2015, 323 :259-268
[24]   A SMART PHONE-BASED POCKET FALL ACCIDENT DETECTION SYSTEM [J].
Kau, Lih-Jen ;
Chen, Chih-Sheng .
2014 IEEE INTERNATIONAL SYMPOSIUM ON BIOELECTRONICS AND BIOINFORMATICS (ISBB), 2014,
[25]   Security Augmenting Scheme for Bus Information System based on Smart Phone [J].
Kim, Seungcheon .
INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS, 2013, 7 (03) :337-345
[26]   Seeing Eye Phone: a smart phone-based indoor localization and guidance system for the visually impaired [J].
Zhang, Dong ;
Lee, Dah-Jye ;
Taylor, Brandon .
MACHINE VISION AND APPLICATIONS, 2014, 25 (03) :811-822
[27]   Stress Detection Using Smart Phone Data [J].
Kostopoulos, Panagiotis ;
Kyritsis, Athanasios I. ;
Deriaz, Michel ;
Konstantas, Dimitri .
EHEALTH 360 DEGREE, 2017, 181 :340-351
[28]   Seeing Eye Phone: a smart phone-based indoor localization and guidance system for the visually impaired [J].
Dong Zhang ;
Dah-Jye Lee ;
Brandon Taylor .
Machine Vision and Applications, 2014, 25 :811-822
[29]   Mobile Phone-Based Microscopy, Sensing, and Diagnostics [J].
Contreras-Naranjo, Jose C. ;
Wei, Qingshan ;
Ozcan, Aydogan .
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS, 2016, 22 (03)
[30]   A Location Inference Algorithm Based-on Smart Phone User Data Modelling [J].
Kim, Sang-il ;
Jung, Wan ;
Kim, Hwa-sung .
2014 16TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY (ICACT), 2014, :1232-1236