• DocumentCode
    263408
  • Title

    Comparing Real-Time Human Motion Capture System Using Inertial Sensors with Microsoft Kinect

  • Author

    Chengkai Xiang ; Hui Huang Hsu ; Wu Yuin Hwang ; Jianhua Ma

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Jhongli, Taiwan
  • fYear
    2014
  • fDate
    12-14 July 2014
  • Firstpage
    53
  • Lastpage
    58
  • Abstract
    Research in Human-Computer Interaction (HCI) has gained interest in recent years and has fostered new ideas and expectations. There are many kinds of human motion capture methods nowadays. In this paper, we have compared 2 kinds of methods which are the most popular methods in HCI - Microsoft Kinect Sensor and Inertial Sensors. This paper presents a wearable real-time human motion capture system using inertial sensors, and result of our method has been compared with Microsoft Kinect Sensor. Several experiments have been performed to validate the effectiveness of our method.
  • Keywords
    human computer interaction; image motion analysis; image sensors; inertial systems; wearable computers; HCI; Microsoft Kinect sensor; human-computer interaction; inertial sensors; wearable real-time human motion capture system; Elbow; Joints; Kalman filters; Legged locomotion; Motion segmentation; Sensors; Tracking; HCI; Microsoft Kinect Sensor; inertial sensors; motion tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubi-Media Computing and Workshops (UMEDIA), 2014 7th International Conference on
  • Conference_Location
    Ulaanbaatar
  • Print_ISBN
    978-1-4799-4267-1
  • Type

    conf

  • DOI
    10.1109/U-MEDIA.2014.25
  • Filename
    6916325