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Volumn , Issue , 2009, Pages 87-91

Identifying activities of daily living using wireless kinematic sensors and data mining algorithms

Author keywords

Accelerometer; ADLs; IADLs; Supervised learning

Indexed keywords

ACTIVITIES OF DAILY LIVING; ACTIVITY RECOGNITION; ADLS; CONTROLLED LABORATORIES; DATA MINING ALGORITHM; DATA SETS; FEATURE SETS; FREQUENCY DOMAINS; IADLS; KINEMATIC SENSORS; RECOGNITION RATES; SEGMENTATION TECHNIQUES; SLIDING WINDOW; TIME DOMAIN;

EID: 70350767195     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/P3644.64     Document Type: Conference Paper
Times cited : (3)

References (10)
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    • Barengo, C.1    Hu, G.2    Lakka, T.A.3
  • 4
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    • Bao, L.1    Intille, S.2
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    • Feature selection and activity recognition from wearable sensors
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    • Pirttikangas, P.1    Fujinami, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.