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Volumn , Issue , 2014, Pages 133-134

Sensors vs. Human: Comparing Sensor Based State Monitoring with Questionnaire Based Self-Assessment in Bipolar Disorder Patients

Author keywords

context applications; emotion recognition; health; mobile sensing; sensors; smartphone

Indexed keywords

DIAGNOSIS; EMOTION RECOGNITION; MHEALTH; SURVEYS;

EID: 84927652926     PISSN: 15504816     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2634317.2634332     Document Type: Conference Paper
Times cited : (5)

References (4)
  • 1
    • 77953940489 scopus 로고    scopus 로고
    • The longitudinal course of bipolar disorder as revealed through weekly text messaging: A feasibility study
    • Bopp, J., Miklowitz, D., Goodwin, G., Stevens, W., Rendell, J., and JR., G. The longitudinal course of bipolar disorder as revealed through weekly text messaging: A feasibility study. Bipolar Disord 12, 3 (2010), 327-34.
    • (2010) Bipolar Disord , vol.12 , Issue.3 , pp. 327-334
    • Bopp, J.1    Miklowitz, D.2    Goodwin, G.3    Stevens, W.4    Rendell, J.5
  • 2
    • 84885206182 scopus 로고    scopus 로고
    • Supporting disease insight through data analysis: refinements of the monarca self-assessment system
    • Frost, M., Doryab, A., Faurholt-Jepsen, M., Kessing, L. V., and Bardram, J. E. Supporting disease insight through data analysis: refinements of the monarca self-assessment system. In UbiComp (2013).
    • (2013) UbiComp
    • Frost, M.1    Doryab, A.2    Faurholt-Jepsen, M.3    Kessing, L.V.4    Bardram, J.E.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.