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Extensible Neck: A Gesture Input Method to Extend/Contract Neck Virtually in Video See-through AR Environment.

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This study introduces a natural gesture input method for human augmentation systems, using neck movements for intuitive viewpoint control. While enhancing immersion, this gesture-based system offers a novel alternative to traditional controllers.

Keywords:
gesture inputhuman augmentationuser interface

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Area of Science:

  • Human-Computer Interaction
  • Augmented Reality
  • Virtual Reality

Background:

  • Head-mounted displays (HMDs) are increasingly common, necessitating intuitive user interfaces for human augmentation systems.
  • Current interfaces for augmented reality (AR) and virtual reality (VR) often lack responsiveness and natural interaction.
  • Effective user interfaces are crucial for integrating human augmentation systems into daily life.

Purpose of the Study:

  • To propose and evaluate an intuitive input method for human augmentation systems using natural gestures.
  • To investigate appropriate natural gestures for controlling viewpoint expansion and contraction via neck movements in an AR environment.
  • To compare the operability and immersion of the proposed gesture-based method against handheld controllers.

Main Methods:

  • Investigated natural neck motions associated with viewpoint extension/contraction.
  • Determined operational methods for neck-based viewpoint control and position holding through experiments.
  • Implemented a prototype system in a VR environment for testing and comparison with handheld controllers.

Main Results:

  • Participants reported higher immersion levels when using the proposed natural gesture input method.
  • The proposed gesture-based method, while immersive, demonstrated slower positioning speed compared to handheld controllers.
  • Natural gestures were identified as viable input cues for human augmentation systems.

Conclusions:

  • Natural gesture input, specifically using neck movements, can significantly enhance user immersion in human augmentation systems.
  • Further research is needed to optimize the speed and efficiency of gesture-based control for practical AR applications.
  • The findings suggest a promising direction for developing more intuitive and engaging user interfaces for future HMD-based systems.