메뉴 건너뛰기




Volumn , Issue , 2014, Pages 80-87

Automated detection of puffing and smoking with wrist accelerometers

Author keywords

Behavior recognition; Cigarette; Health; Random forest; Real time; Smoking; Supervised learning; Ubiquitous computing

Indexed keywords

ACCELEROMETERS; BEHAVIORAL RESEARCH; DECISION TREES; HEALTH; RANDOM FORESTS; SUPERVISED LEARNING; TOPOGRAPHY; UBIQUITOUS COMPUTING;

EID: 84928896596     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.4108/icst.pervasivehealth.2014.254978     Document Type: Conference Paper
Times cited : (39)

References (26)
  • 1
    • 84928899642 scopus 로고    scopus 로고
    • World Health Organization. 2012. Last visited 3/15/14, http://www.who.int/features/factfiles/tobacco-epidemic/en/
    • (2012) Last Visited 3/15/14
  • 3
    • 35048842427 scopus 로고    scopus 로고
    • Activity recognition from user-annotated acceleration data
    • Bao, L. and Intille, S., 2004. Activity recognition from user-annotated acceleration data. Pervasive Computing, 1-17.
    • (2004) Pervasive Computing , pp. 1-17
    • Bao, L.1    Intille, S.2
  • 4
    • 84876938105 scopus 로고    scopus 로고
    • Pilot study of the use of personal carbon monoxide monitoring to achieve radical smoking reduction
    • Beard, E. and West, R., 2012. Pilot study of the use of personal carbon monoxide monitoring to achieve radical smoking reduction. J. of Smoking Cessation. 7(1), 12-17.
    • (2012) J. of Smoking Cessation. , vol.7 , Issue.1 , pp. 12-17
    • Beard, E.1    West, R.2
  • 5
    • 56149083852 scopus 로고    scopus 로고
    • Smoking-attributable mortality, years of potential life lost, and productivity losses-United States, 2000-2004
    • Centers for Disease Control and Prevention, 2008. Smoking-attributable mortality, years of potential life lost, and productivity losses-United States, 2000-2004. MMWR. 57(45), 1226-1228.
    • (2008) MMWR , vol.57 , Issue.45 , pp. 1226-1228
  • 6
    • 79955702502 scopus 로고    scopus 로고
    • LIBSVM: A library for support vector machines
    • Chang, C.C. and Lin, C.J., 2011. LIBSVM: a library for support vector machines. ACM TIST. 2(3), 27.
    • (2011) ACM TIST. , vol.2 , Issue.3 , pp. 27
    • Chang, C.C.1    Lin, C.J.2
  • 7
    • 59249093678 scopus 로고    scopus 로고
    • Discovery of activity patterns using topic models
    • Huynh, T., Fritz, M. and Schiele, B., 2008. Discovery of activity patterns using topic models. UbiComp, 10-19.
    • (2008) UbiComp , pp. 10-19
    • Huynh, T.1    Fritz, M.2    Schiele, B.3
  • 8
    • 38949199019 scopus 로고    scopus 로고
    • Gesture spotting with body-worn inertial sensors to detect user activities
    • Junker, H., Amft, O., Lukowicz, P. and Troster, G., 2008. Gesture spotting with body-worn inertial sensors to detect user activities. Pattern Recognition. 41(6), 2010-2024.
    • (2008) Pattern Recognition , vol.41 , Issue.6 , pp. 2010-2024
    • Junker, H.1    Amft, O.2    Lukowicz, P.3    Troster, G.4
  • 9
    • 30744436064 scopus 로고    scopus 로고
    • Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring
    • Karantonis, D.M., Narayanan, M.R., Mathie, M., Lovell, N.H. and Celler, B.G., 2006. Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring. IEEE Tran. on Inf. Technol. in Biomed. 10(1), 156-167.
    • (2006) IEEE Tran. on Inf. Technol. in Biomed. , vol.10 , Issue.1 , pp. 156-167
    • Karantonis, D.M.1    Narayanan, M.R.2    Mathie, M.3    Lovell, N.H.4    Celler, B.G.5
  • 10
    • 75449099590 scopus 로고    scopus 로고
    • Human activity recognition and pattern discovery
    • Kim, E., Helal, S., and Cook. D., 2010. Human activity recognition and pattern discovery. IEEE Pervasive Computing, 48-53.
    • (2010) IEEE Pervasive Computing , pp. 48-53
    • Kim, E.1    Helal, S.2    Cook, D.3
  • 11
    • 13344284045 scopus 로고    scopus 로고
    • Recognition of arm gestures using multiple orientation sensors: Gesture classification
    • Lementec, J.C. and Bajcsy, P., 2004. Recognition of arm gestures using multiple orientation sensors: Gesture classification. Intl. Conf. on Intell. Transport. Sys., 965-970.
    • (2004) Intl. Conf. on Intell. Transport. Sys. , pp. 965-970
    • Lementec, J.C.1    Bajcsy, P.2
  • 12
    • 84884193696 scopus 로고    scopus 로고
    • Detection of hand-to-mouth gestures using a RF operated proximity sensor for monitoring cigarette smoking
    • Lopez-Meyer, P., Patil, Y., Tiffany, T. and Sazonov, E., 2013. Detection of hand-to-mouth gestures using a RF operated proximity sensor for monitoring cigarette smoking. The Open Biomed. Eng. J.9,41.
    • (2013) The Open Biomed. Eng. J. , vol.9 , pp. 41
    • Lopez-Meyer, P.1    Patil, Y.2    Tiffany, T.3    Sazonov, E.4
  • 14
    • 77950247206 scopus 로고    scopus 로고
    • Machine learning methods for classifying human physical activity from on-body accelerometers
    • Mannini, A. and Sabatini, A.M., 2010. Machine learning methods for classifying human physical activity from on-body accelerometers. Sensors. 10(2), 1154-1175.
    • (2010) Sensors , vol.10 , Issue.2 , pp. 1154-1175
    • Mannini, A.1    Sabatini, A.M.2
  • 15
    • 73449127381 scopus 로고    scopus 로고
    • Reconciling human smoking behavior and machine smoking patterns: Implications for understanding smoking behavior and the impact on laboratory studies
    • Marian, C., O'Connor, R.J., Djordjevic, M.V., Rees, V.W., Hatsukami, D.K. and Shields, P.G., 2009. Reconciling human smoking behavior and machine smoking patterns: Implications for understanding smoking behavior and the impact on laboratory studies. CEBP. 18(12), 3305-3320.
    • (2009) CEBP , vol.18 , Issue.12 , pp. 3305-3320
    • Marian, C.1    O'Connor, R.J.2    Djordjevic, M.V.3    Rees, V.W.4    Hatsukami, D.K.5    Shields, P.G.6
  • 17
    • 84874917480 scopus 로고    scopus 로고
    • Human visual system-based smoking event detection
    • 840607
    • Odetallah, A. and Agaian, S., 2012. Human visual system-based smoking event detection. Proc. of SPIE, 840607:1-12.
    • (2012) Proc. of SPIE , pp. 1-12
    • Odetallah, A.1    Agaian, S.2
  • 19
    • 84867442764 scopus 로고    scopus 로고
    • Online pose classification and walking speed estimation using handheld devices
    • Park, J., Patel, A., Curtis, D., Teller, S. and Ledlie, J., 2012. Online pose classification and walking speed estimation using handheld devices. UbiComp, 113-122.
    • (2012) UbiComp , pp. 113-122
    • Park, J.1    Patel, A.2    Curtis, D.3    Teller, S.4    Ledlie, J.5
  • 23
    • 0029017179 scopus 로고
    • Actigraphy and motion analysis: New tools for psychiatry
    • Teicher, H., 1995. Actigraphy and motion analysis: New tools for psychiatry. Harvard Review of Psychiatry. 3(1), 18-35.
    • (1995) Harvard Review of Psychiatry , vol.3 , Issue.1 , pp. 18-35
    • Teicher, H.1
  • 24
    • 84869145288 scopus 로고    scopus 로고
    • Human motion recognition using a wireless sensor-based wearable system
    • Varkey, J.P., Pompili, D. and Walls, T., 2011. Human motion recognition using a wireless sensor-based wearable system. Personal and Ubiquitous Computing. 16, 897-910.
    • (2011) Personal and Ubiquitous Computing , vol.16 , pp. 897-910
    • Varkey, J.P.1    Pompili, D.2    Walls, T.3
  • 25
    • 78149487388 scopus 로고    scopus 로고
    • Human smoking event detection using visual interaction clues
    • Wu, P., Hsieh, J.W., Cheng, J.C., Cheng, S.C. and Tseng, S.Y., 2010. Human smoking event detection using visual interaction clues. ICPR, 4344-4347.
    • (2010) ICPR , pp. 4344-4347
    • Wu, P.1    Hsieh, J.W.2    Cheng, J.C.3    Cheng, S.C.4    Tseng, S.Y.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.