A Lightweight User State Monitoring System on Android Smartphones

被引:3
|
作者
Zhang, Weishan [1 ]
Wang, Xun [2 ]
机构
[1] China Univ Petr, Dept Software Engn, Qingdao 266580, Peoples R China
[2] Chinese Univ Sci & Technol, Sch Software, Hefei, Peoples R China
关键词
D O I
10.1007/978-3-319-22885-3_23
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Smartphones are widely used around the world, which are also equipped with some sensors that can be used for the awareness of their users' state. These sensors include GPS, accelerometer, and microphone among others. In this paper, we present an empirical way to identify user's state including daily activity like walking, running, accidental threats like falling-down, and emotional status like sadness, joy, and anger. The monitoring should be realized in a non-intrusive way. We realize this idea by the design and implementation of a comprehensive run time user state monitoring system on Android smartphones, as less instructive as possible. The experiments show that it has good performance in terms of both monitored state accuracy and footprint incurred while conduct monitoring. The evaluations also show that the power consumption of the monitoring system is even neglectable which proves the usability of the proposed monitoring system.
引用
收藏
页码:259 / 269
页数:11
相关论文
共 50 条
  • [1] User-aware Frame Rate Management in Android Smartphones
    Egilmez, Begum
    Schuchhardt, Matthew
    Memik, Gokhan
    Ayoub, Raid
    Soundararajan, Niranjan
    Kishinevsky, Michael
    ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS, 2017, 16
  • [2] Automatic battery charging system on android smartphones
    Djuanda, D. S. R.
    Ramdhani, M.
    Ekaputri, C.
    INTERNATIONAL CONFERENCE ON INNOVATION IN ENGINEERING AND VOCATIONAL EDUCATION 2019 (ICIEVE 2019), PTS 1-4, 2020, 830
  • [3] A Mobile Visual Programming System for Android Smartphones and Tablets
    Slany, Wolfgang
    2012 IEEE SYMPOSIUM ON VISUAL LANGUAGES AND HUMAN-CENTRIC COMPUTING (VL/HCC), 2012, : 265 - 266
  • [4] Protego: A Passive Intrusion Detection System for Android Smartphones
    Joshi, Prachi
    Jindal, Chani
    Chowkwale, Mukti
    Shethia, Rohan
    Shaikh, Sohail Ahmed
    Ved, Dhaval
    2016 INTERNATIONAL CONFERENCE ON COMPUTING, ANALYTICS AND SECURITY TRENDS (CAST), 2016, : 232 - 237
  • [5] Modeling Free-form Handwriting Gesture User Authentication for Android Smartphones
    Espinosa, Floren Alexis T.
    Guerrero, Guillermo Gohan E., III
    Vea, Larry A.
    2016 IEEE/ACM INTERNATIONAL CONFERENCE ON MOBILE SOFTWARE ENGINEERING AND SYSTEMS (MOBILESOFT 2016), 2016, : 3 - 6
  • [6] Automated User Documentation System for Android
    Manolachc, Florin B.
    Li, Yifan
    Rusu, Octavian
    2015 14TH ROEDUNET INTERNATIONAL CONFERENCE - NETWORKING IN EDUCATION AND RESEARCH (ROEDUNET NER), 2015, : 63 - 67
  • [7] A Cloud-Based Intrusion Detection System for Android Smartphones
    Khune, Rohit S.
    Thangakumar, J.
    2012 INTERNATIONAL CONFERENCE ON RADAR, COMMUNICATION AND COMPUTING (ICRCC), 2012, : 180 - 184
  • [8] Lightweight Steganography on Smartphones
    Amoroso, Alessandro
    Masotti, Marco
    2006 3RD IEEE CONSUMER COMMUNICATIONS AND NETWORKING CONFERENCE, VOLS 1-3, 2006, : 1158 - 1162
  • [9] A Behavioral Biometrics User Authentication Study Using Motion Data from Android Smartphones
    Maghsoudi, Javid
    Tappert, Charles C.
    2016 EUROPEAN INTELLIGENCE AND SECURITY INFORMATICS CONFERENCE (EISIC), 2016, : 184 - 187
  • [10] Research and Development of Palmprint Authentication System Based on Android Smartphones
    Zhang, Xinman
    Jing, Kunlei
    Song, Guokun
    MOBILE INFORMATION SYSTEMS, 2020, 2020