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http://dx.doi.org/10.9717/kmms.2013.16.8.962

Smart-clothes System for Realtime Privacy Monitoring on Smart-phones  

Park, Hyun-Moon (국민대학교 BIT 대학원)
Jeon, Byung-Chan (전자부품연구원)
Park, Won-Ki (전자부품연구원)
Park, Soo-Hyun (국민대학교 BIT 대학원)
Lee, Sung-Chul (전자부품연구원)
Publication Information
Journal of Korea Multimedia Society / v.16, no.8, 2013 , pp. 962-971 More about this Journal
Abstract
In this paper, we propose a method to infer the user's behavior and situation through collected data from multi-sensor equipped with a smart clothing and it was implemented as a smart-phone App. This smart-clothes is able to monitor wearer users' health condition and activity levels through the gyro, temp and acceleration sensor. Sensed vital signs are transmitted to a bluetooth-enabled smart-phone in the smart-clothes. Thus, users are able to have real time information about their user condition, including activities level on the smart-application. User context reasoning and behavior determine is very difficult using multi-sensor depending on the measured value of the sensor varies from environmental noise. So, the reasoning and the digital filter algorithms to determine user behavior reducing noise and are required. In this paper, we used Multi-black Filter and SVM processing behavior for 3-axis value as a representative value of one.
Keywords
Smart wear; smart-phone; Smart-app; Motion filter; BAN(Body area Network);
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 정창욱, 강동중, "지능형 영상 감시 시스템에서의 은닉 마르코프 모델을 이용한 특이 행동 인식 알고리즘," 한국멀티미디어학회, 멀티미디어학회 논문지 제11권, 제11호, pp 1491-1500,2008.
2 김영균, 김영지, 문현정, 우용태, "학습자 행동모델기반의 적응적 하이퍼미디어 학습 시스템 설계 및 구현," 한국멀티미디어학회논문지 제12권,제5호, 757- 766, 2009.   과학기술학회마을
3 Sian Lun Lau and Klaus DAVID, "Movement Recognition using the Accelerometer in Smartphones," Future Network and Mobile Summit, pp. 1-3, 2010.
4 Zhongtang Zhao,Yiqiang CHEN, Junfa LIU, Zhiqi SHEN, Mingjie LIU., "Cross-People Mobile- Phone Based Activity Recognition," IJCAI'11, Vol. 3, pp. 2545-250, 2011.
5 König, I., David, K. Parandian, B., "Supporting Patient Monitoring using Activity Recognition with a Smartphone," ISWCS, pp. 810-814, 2010.
6 Keijser N., "Ambulatory Motor Assessment in Parkinson's Disease," Movement Disorders, Vol. 21, Issue 1, pp. 34-44, 2006.   DOI   ScienceOn
7 Angelo Maria Sabatini, "Kalman-Filter-Based Orientation Determination Using Inertial/ Magnetic Sensors: Observability Analysis and Performance Evaluation," Jornal of Sensors, Vol. 11, Issue 10, pp. 9182-9206, 2011.
8 Ryo Takeda, Shigeru Tadano, Akiko Natorigawa, Masahiro Todoh, and Satoshi Yoshinari, "Gait Posture Estimation using Wearable Acceleration and Gyro Sensors," Journal of Biomechanics, Vol 42, No. 15, pp. 2486-2494, 2009.   DOI   ScienceOn
9 Smailagic, A, Siewiorek, D.P, and Deisher, M. "Activity Recognition and Monitoring using Multiple Sensors on Different Body Positions," Body Sensor Networks 2006. pp. 113-116, 2006.
10 Zhu, C. "Realtime Recognition of Complex Human Daily Activities Using Human Motion and Location Data, Biomedical Engineering," IEEE Transactions on Biomedical Engineering, Vol. 59, Issue 9, pp. 242- 2430, 2012.
11 Shahid Ayub, Alireza Bahraminisaab, and Bahram Honary, "A Sensor Fusion Method for Smart Phone Orientation Estimation," PGNET Conferences, pp. 1-4, 2012.
12 M.N. Howell and T.J. Gordon, "Continuous Action Reinforcement Learning Automata and their Application to Adaptive Digital Filter Fesign," Engineering Applications of Artificial Intelligence, Vol. 14, No. 5, pp. 549-561, 2002.
13 전병찬, 박현문, 박원기, 이성철, "스마트웨어 프로타입 시스템을 위한 다중 센서 측정 기법연구," 대한전자공학회 하계학술대회, 제15권, pp.1360-1363, 2012.
14 Nike+, "SportBand nike plus," http://nikeplus.nike.com/plus/
15 Adidas Group, "adidas micoach," http://www.adidas.com/us/micoach/