• DocumentCode
    1657704
  • Title

    Influence of lower extremity alignment on human gait based on wireless sensors

  • Author

    Saga, Norihiko ; Irie, So ; Dobashi, H. ; Maehara, K. ; Sogabe, Akitoshi

  • Author_Institution
    Dept. of Human Syst. Interaction, Kwansei Gakuin Univ., Sanda, Japan
  • fYear
    2012
  • Firstpage
    270
  • Lastpage
    274
  • Abstract
    This study was conducted to measure human gait locomotion according to different lower extremity alignments, and to assess the alignment effects on knees and leg muscles. We analyzed the movements of a walking person, particularly assessing the ground reaction force and muscle potential. Patients were separated into three groups by knee arrangement as normal, genu varum, and genu valgum. After fitting markers to the patients, motion capture imaging was used to analyze their movements. Thereby, we ascertained the locus of the knee-joint marker. Different movement features were clarified when we observed a front view of each knee-type. Next, we measured the ground reaction force using a tactile sensor, which revealed no great difference in the results among these knee types. Finally, we measured the muscle potential. Results of the vastus medialis, vastus lateralis, gastrocnemius medialis and adductor longus reveal differences among knee types. This report describes results measured using multimodal sensors for the influence on walking activity by the difference of lower extremity alignment.
  • Keywords
    gait analysis; muscle; tactile sensors; adductor longus; alignment effects; gastrocnemius medialis; ground reaction force; human gait locomotion; knee-joint marker; knees muscles; leg muscles; lower extremity alignment; multimodal sensors; muscle potential; tactile sensor; vastus lateralis; vastus medialis; walking activity; wireless sensors; Floors; Force; Force measurement; Joints; Knee; Legged locomotion; Muscles; Biomechanics; EMG; Gait; Kinematics; Knee alignment; Tactile sensor; Walking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Machine Vision in Practice (M2VIP), 2012 19th International Conference
  • Conference_Location
    Auckland
  • Print_ISBN
    978-1-4673-1643-9
  • Type

    conf

  • Filename
    6484600