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Low-Latency Haptic Open Glove for Immersive Virtual Reality Interaction.

Donghyun Sim1, Yoonchul Baek1, Minjeong Cho2

  • 1Department of Intelligent Mechatronics Engineering, Sejong University, Seoul 05006, Korea.

Sensors (Basel, Switzerland)
|June 2, 2021
PubMed
Summary

Researchers developed a low-latency haptic open glove (LLHOG) for immersive virtual reality (VR) interaction. This haptic technology significantly improves tactile sensation and hand motion tracking accuracy with minimal delay.

Keywords:
MMS filterhand motion capturehaptic open glovehuman computer interactionimmersive VR interactionrotary position sensor

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Area of Science:

  • Haptic Technology
  • Virtual Reality (VR)
  • Human-Computer Interaction

Background:

  • Advancements in telecommunications and the tactile internet enable study of human senses via haptic technology.
  • Haptic technology facilitates tactile sensations and network-based control in virtual reality (VR).
  • Existing haptic devices require ultra-low latency (around 1 ms) for applications like telesurgery and mission-critical operations, yet improvements in latency and robustness are needed.

Purpose of the Study:

  • To propose a low-latency haptic open glove (LLHOG) for immersive VR interaction.
  • To improve latency and robustness to hand size variations in haptic devices.
  • To enable real-time tactile sensation and accurate hand motion tracking.

Main Methods:

  • Developed a low-latency haptic open glove (LLHOG) utilizing rotary position sensors and a min-max scaling (MMS) filter.
  • Integrated two position sensors at the metacarpophalangeal (MCP) joint to detect finger flexion/extension and adduction/abduction.
  • Employed an MMS filter for processing sensor data to achieve low latency and high accuracy in motion tracking.

Main Results:

  • Achieved a processing delay of 145.37 μs per finger and an overall hand motion-tracking latency of 4 ms.
  • Demonstrated robustness to finger length variations.
  • Attained an average mean absolute error (MAE) of 3.091° for flexion/extension and 2.068° for adduction/abduction across 10 subjects.

Conclusions:

  • The proposed LLHOG offers superior performance in accuracy, latency, and robustness compared to existing methods for immersive VR.
  • The MMS filter effectively processes sensor data, enabling precise hand motion tracking and tactile feedback.
  • The LLHOG system provides a significant advancement for realistic and responsive virtual reality experiences.