Measuring the kinematics of daily living movements with motion capture systems in virtual reality

Kyoungwon Seo, Ahreum Lee, Jieun Kim, Hokyoung Ryu, Hojin Choi

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The inability to complete instrumental activities of daily living (IADL) is a precursor to various neuropsychological diseases. Questionnaire-based assessments of IADL are easy to use but prone to subjective bias. Here, we describe a novel virtual reality (VR) test to assess two complex IADL tasks: handling financial transactions and using public transportation. While a participant performs the tasks in a VR setting, a motion capture system traces the position and orientation of the dominant hand and head in a three-dimensional Cartesian coordinate system. Kinematic raw data are collected and converted into 'kinematic performance measures,' i.e., motion trajectory, moving distance, and time to completion. Motion trajectory is the path of a particular body part (e.g., dominant hand or head) in space. Moving distance refers to the total distance of the trajectory, and time to completion is how long it took to complete an IADL task. These kinematic measures could discriminate patients with cognitive impairment from healthy controls. The development of this kinematic measuring protocol allows detection of early IADL-related cognitive impairments.

Original languageEnglish
Article numbere57284
JournalJournal of Visualized Experiments
Volume2018
Issue number134
DOIs
StatePublished - 2018 Apr 5

Fingerprint

Activities of Daily Living
Biomechanical Phenomena
Virtual reality
Kinematics
Trajectories
Hand
Head
Human Body
Cognitive Dysfunction

Keywords

  • Assessment
  • Behavior
  • Body
  • Dementia
  • Instrumental activities of daily living
  • Issue 134
  • Kinematics
  • Mild cognitive impairment
  • Motion capture
  • Moving distance
  • Time to completion
  • Trajectory
  • Virtual reality

Cite this

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abstract = "The inability to complete instrumental activities of daily living (IADL) is a precursor to various neuropsychological diseases. Questionnaire-based assessments of IADL are easy to use but prone to subjective bias. Here, we describe a novel virtual reality (VR) test to assess two complex IADL tasks: handling financial transactions and using public transportation. While a participant performs the tasks in a VR setting, a motion capture system traces the position and orientation of the dominant hand and head in a three-dimensional Cartesian coordinate system. Kinematic raw data are collected and converted into 'kinematic performance measures,' i.e., motion trajectory, moving distance, and time to completion. Motion trajectory is the path of a particular body part (e.g., dominant hand or head) in space. Moving distance refers to the total distance of the trajectory, and time to completion is how long it took to complete an IADL task. These kinematic measures could discriminate patients with cognitive impairment from healthy controls. The development of this kinematic measuring protocol allows detection of early IADL-related cognitive impairments.",
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Measuring the kinematics of daily living movements with motion capture systems in virtual reality. / Seo, Kyoungwon; Lee, Ahreum; Kim, Jieun; Ryu, Hokyoung; Choi, Hojin.

In: Journal of Visualized Experiments, Vol. 2018, No. 134, e57284, 05.04.2018.

Research output: Contribution to journalArticle

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