Analyses of body measurement with depth image data using motion capture sensor Analize ale măsurării corpului cu date de imagine de profunzime folosind senzorul de captare a mișcării


Yüksel H., Bulut M. O.

Industria Textila, vol.71, no.6, pp.530-537, 2021 (SCI-Expanded, Scopus) identifier

  • Publication Type: Article / Article
  • Volume: 71 Issue: 6
  • Publication Date: 2021
  • Doi Number: 10.35530/t.071.06.1746
  • Journal Name: Industria Textila
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, ABI/INFORM
  • Page Numbers: pp.530-537
  • Keywords: Anthropometry, Depth image, Gesture based sensors, Image processing, Measurements
  • Isparta University of Applied Sciences Affiliated: No

Abstract

Sensors can capture and scan many objects in real time for military, security, health and industrial applications. Sensors can be made smaller, cheaper and more energy efficient due to rapid changes in technology. Low-cost sensors are attractive alternatives to high cost laser scanners in recent years. The Kinect sensor can measure depth data with low cost and high resolution by scanning the environment. In this study, this sensor collected data on users in front of a scanner, and the depth data results were tested. The process was repeated with four different body positions, and the results were analysed. The sensor data was reliable versus real measurements. When compared the depth data taken by the sensor with the real measures, the reliability rate is found significance. The difference between the depth image data of different users, different positions and different body measures and real data is 0.35 to 1.15 cm. This shows that the sensor’s results are close to real data. When the accuracy of the sensor against real measurements is examined, it is seen that these values are between 98.46 % and 99.6 %. Thus, this depth image sensor is reliable and can be used as an alternative and cheaper way for body measurements.