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Investigating the Time Dependency of Elbow Flexion Angle Variations in Real and Virtual Grabbing Tasks Using Statistical Parametric Mapping

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Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management (HCII 2023)

Abstract

In this paper, we explore the differences in movement between real life and virtual reality. To gather data for our study, 23 healthy adults were asked to move a box with their right hand in both a real life setting and virtual environment. The movements were captured using a marker-based motion capture system consisting of eight cameras. We analyzed the elbow flexion and angular velocity during object manipulation tasks in both virtual reality and the real-world using Statistical Parametric Mapping. The VR environment caused differences in the flexion angle and an decrease in the angular velocity compared to the real environment for the majority of the task duration. The findings suggest that VR environments can affect the kinematics of object manipulation and should be considered when designing VR interfaces for manual tasks.

The results of our study also provide new insights into the ways in which movement is impacted by virtual reality. Our findings have implications for a range of fields, including virtual reality technology, human-computer interaction, and sports science. By better understanding the differences between real-life and virtual movement, we can help to improve the design and use of virtual reality systems.

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Correspondence to Daniel Friemert .

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Mayat, N. et al. (2023). Investigating the Time Dependency of Elbow Flexion Angle Variations in Real and Virtual Grabbing Tasks Using Statistical Parametric Mapping. In: Duffy, V.G. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. HCII 2023. Lecture Notes in Computer Science, vol 14028. Springer, Cham. https://doi.org/10.1007/978-3-031-35741-1_13

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  • DOI: https://doi.org/10.1007/978-3-031-35741-1_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35740-4

  • Online ISBN: 978-3-031-35741-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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