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Classifier Level Fusion of Accelerometer and sEMG Signals for Automatic Fitness Activity Diarization.

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اقرأ على الانترنت اقرأ أكثر حفظ في قائمتي
  • معلومة اضافية
    • المصدر:
      Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
    • بيانات النشر:
      Original Publication: Basel, Switzerland : MDPI, c2000-
    • الموضوع:
      Accelerometry/*methods ; Electromyography/*methods ; Exercise/*physiology ; Physical Fitness/*physiology; Humans ; Wearable Electronic Devices
    • نبذة مختصرة :
      The human activity diarization using wearable technologies is one of the most important supporting techniques for ambient assisted living, sport and fitness activities, healthcare of elderly people. The activity diarization is performed in two steps: the acquisition of body signals and the classification of activities being performed. This paper presents a technique for data fusion at classifier level of accelerometer and sEMG signals acquired by using a low-cost wearable wireless system for monitoring the human activity when performing sport and fitness activities, as well as in healthcare applications. To demonstrate the capability of the system of diarizing the user's activities, data recorded from a few subjects were used to train and test the automatic classifier for recognizing the type of exercise being performed.
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    • Grant Information:
      616-31.01.2018 Università Politecnica delle Marche
    • Contributed Indexing:
      Keywords: accelerometer; activity diarization; classifier level fusion; data fusion; electromiography; sEMG; wearable system
    • الموضوع:
      Date Created: 20180831 Date Completed: 20181211 Latest Revision: 20230928
    • الموضوع:
      20230928
    • الرقم المعرف:
      PMC6164365
    • الرقم المعرف:
      10.3390/s18092850
    • الرقم المعرف:
      30158443