메뉴 건너뛰기




Volumn , Issue , 2012, Pages 142-147

Daily mood assessment based on mobile phone sensing

Author keywords

behavior modeling; mobile healthcare; mobile phone sensor; mood assessment; reality mining

Indexed keywords

ASSESSMENT METHODS; ASSESSMENT MODELS; BEHAVIOR MODELING; COMMUNICATION DATA; DAILY LIVES; FACTOR GRAPHS; HUMAN BEHAVIORS; MENTAL HEALTH; MOBILE HEALTH CARE; MOOD ASSESSMENT; MOOD DISORDERS; QUALITY OF LIFE; REALITY MININGS; SENSOR DATA; USER INTERVENTION;

EID: 84862274825     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BSN.2012.3     Document Type: Conference Paper
Times cited : (84)

References (16)
  • 2
    • 35949001256 scopus 로고    scopus 로고
    • Assessing mood in daily life - Structural validity, sensitivity to change, and reliability of a short-scale to measure three basic dimensions of mood
    • P. Wilhelm and D. Schoebi, "Assessing mood in daily life - structural validity, sensitivity to change, and reliability of a short-scale to measure three basic dimensions of mood," European Journal of Psychological Assessment, vol. 23, pp. 258-267, 2007.
    • (2007) European Journal of Psychological Assessment , vol.23 , pp. 258-267
    • Wilhelm, P.1    Schoebi, D.2
  • 5
    • 85047160272 scopus 로고    scopus 로고
    • Myhealth-assistant: A phone-based body sensor network that captures the wearer's exercises throughout the day
    • C. Seeger, A. Buchmann, and K. V. Laerhoven, "myhealth-assistant: A phone-based body sensor network that captures the wearer's exercises throughout the day," in BodyNets, 2011.
    • (2011) BodyNets
    • Seeger, C.1    Buchmann, A.2    Laerhoven, K.V.3
  • 6
    • 33645311516 scopus 로고    scopus 로고
    • Reality mining: Sensing complex social systems
    • Mar.
    • N. Eagle and A. (Sandy) Pentland, "Reality mining: sensing complex social systems," Personal Ubiquitous Comput., vol. 10, no. 4, pp. 255-268, Mar. 2006.
    • (2006) Personal Ubiquitous Comput , vol.10 , Issue.4 , pp. 255-268
    • Eagle, N.1    Pentland, A.2
  • 8
    • 78649982138 scopus 로고    scopus 로고
    • User activity understanding from mobile phone sensors
    • Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing, ser. New York, NY, USA: ACM
    • Y. Arase, F. Ren, and X. Xie, "User activity understanding from mobile phone sensors," in Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing, ser. Ubicomp '10. New York, NY, USA: ACM, 2010, pp. 391-392.
    • (2010) Ubicomp '10 , pp. 391-392
    • Arase, Y.1    Ren, F.2    Xie, X.3
  • 12
    • 84862298138 scopus 로고    scopus 로고
    • [Online]. Available
    • Sensorevent documentation for android developers. Android Open Source Project. [Online]. Available: http://developer. android.com/reference/android/ hardware/SensorEvent.html
    • Sensorevent Documentation for Android Developers
  • 14
    • 35048842427 scopus 로고    scopus 로고
    • Activity recognition from user-annotated acceleration data
    • L. Bao and S. Intille, "Activity recognition from user-annotated acceleration data," in LNCS 3001, 2004, pp. 1-17.
    • (2004) LNCS , vol.3001 , pp. 1-17
    • Bao, L.1    Intille, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.