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Volumn , Issue , 2008, Pages

Body sensor networks to evaluate standing balance: Interpreting muscular activities based on inertial sensors

Author keywords

Balance; EMG; Inertial sensors

Indexed keywords

BALANCE; BODY SENSOR NETWORK; ELECTROMYOGRAM; EMG; EMG SIGNAL; INERTIAL SENSOR; INERTIAL SENSORS; MUSCULAR ACTIVITIES; QUANTITATIVE PARAMETERS;

EID: 70349113773     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1515747.1515753     Document Type: Conference Paper
Times cited : (21)

References (10)
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  • 2
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  • 3
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  • 4
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    • A new method for evaluating motor control in gait under real-life environmental conditions. Part 1: The instrument
    • Moe-Nilssen, R., A new method for evaluating motor control in gait under real-life environmental conditions. Part 1: The instrument. Clinical Biomechanics, 1998. 13(4-5): p. 320-327.
    • (1998) Clinical Biomechanics , vol.13 , Issue.4-5 , pp. 320-327
    • Moe-Nilssen, R.1
  • 5
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  • 6
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    • Classification of basic daily movements using a triaxial accelerometer
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    • Mathie, M.1
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    • Audio-biofeedback for balance improvement: An accelerometry-based system
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    • Chiari, L.1
  • 8
    • 21344467920 scopus 로고    scopus 로고
    • Audio-biofeedback improves balance in patients with bilateral vestibular loss
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  • 9
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  • 10
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.