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A Study on Sensor-Based Upper Full-Body Motion Tracking on HoloLens

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2021, 26(4), pp.39-46
  • DOI : 10.9708/jksci.2021.26.04.039
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : March 10, 2021
  • Accepted : April 1, 2021
  • Published : April 30, 2021

Sung-Jun Park 1

1㈜데이타리얼리티

Accredited

ABSTRACT

In this paper, we propose a method for the motion recognition method required in the industrial field in mixed reality. In industrial sites, movements (grasping, lifting, and carrying) are required throughout the upper full-body, from trunk movements to arm movements. In this paper, we use a method composed of sensors and wearable devices that are not vision-based such as Kinect without using heavy motion capture equipment. We used two IMU sensors for the trunk and shoulder movement, and used Myo arm band for the arm movements. Real-time data coming from a total of 4 are fused to enable motion recognition for the entire upper body area. As an experimental method, a sensor was attached to the actual clothes, and objects were manipulated through synchronization. As a result, the method using the synchronization method has no errors in large and small operations. Finally, through the performance evaluation, the average result was 50 frames for single-handed operation on the HoloLens and 60 frames for both-handed operation.

Citation status

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