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Validation of an Inverse Kinematic VR Manikin in Seated Tasks: Application in Ergonomics Training

EasyChair Preprint no. 5220

8 pagesDate: March 24, 2021


Lower back and neck pain are common musculoskeletal disorders (MSDs) among dentists and dentistry students. Increased awareness of ergonomics during job tasks could help to reduce MSDs. Virtual reality (VR) enhanced dentistry training programs are gaining popularity in academia. Quantifying inverse kinematics (IK) using VR manikins that mimic a user’s body can inform ergonomic risk evaluations. We calibrated and investigated one of the IK manikins' accuracy compared to motion capture (MoCap) using a novel method. We show that posture estimation using VR is accurate to less than 10 degrees in 81% of the seated pick and place tasks for the neck and trunk angles. These results suggest that an accurate estimation of posture in VR is achievable to inform real-time postural feedback. This postural feedback can be integrated into VR enhanced training for dental students to help reinforce ergonomic posture and safer movements.

Keyphrases: Ergonomic Training, inverse kinematic, motion capture, posture estimation, Virtual Reality

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Mohammad Homayounpour and Dorien Butter and Saaransh Vasta and Andrew Merryweather},
  title = {Validation of an Inverse Kinematic VR Manikin in Seated Tasks: Application in Ergonomics Training},
  howpublished = {EasyChair Preprint no. 5220},

  year = {EasyChair, 2021}}
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