Low-Latency Haptic Open Glove for Immersive Virtual Reality Interaction
| Autor: | A. S. M. Sharifuzzaman Sagar, Sunghoon Park, Yoonchul Baek, Donghyun Sim, Minjeong Cho, Hyung Seok Kim |
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| Rok vydání: | 2021 |
| Předmět: |
haptic open glove
Computer science Movement rotary position sensor TP1-1185 02 engineering and technology Virtual reality Biochemistry Article Analytical Chemistry Fingers Robustness (computer science) 0202 electrical engineering electronic engineering information engineering Humans Electrical and Electronic Engineering Latency (engineering) Instrumentation Processing delay Simulation Haptic technology immersive VR interaction Chemical technology 020208 electrical & electronic engineering Virtual Reality hand motion capture Hand 021001 nanoscience & nanotechnology Atomic and Molecular Physics and Optics Touch Filter (video) MMS filter human computer interaction 0210 nano-technology Position sensor |
| Zdroj: | Sensors, Vol 21, Iss 3682, p 3682 (2021) Sensors Volume 21 Issue 11 Sensors (Basel, Switzerland) |
| ISSN: | 1424-8220 |
| DOI: | 10.3390/s21113682 |
| Popis: | Recent advancements in telecommunications and the tactile Internet have paved the way for studying human senses through haptic technology. Haptic technology enables tactile sensations and control using virtual reality (VR) over a network. Researchers are developing various haptic devices to allow for real-time tactile sensation, which can be used in various industries, telesurgery, and other mission-critical operations. One of the main criteria of such devices is extremely low latency, as low as 1 ms. Although researchers are attempting to develop haptic devices with low latency, there remains a need to improve latency and robustness to hand sizes. In this paper, a low-latency haptic open glove (LLHOG) based on a rotary position sensor and min-max scaling (MMS) filter is proposed to realize immersive VR interaction. The proposed device detects finger flexion/extension and adduction/abduction motions using two position sensors located in the metacarpophalangeal (MCP) joint. The sensor data are processed using an MMS filter to enable low latency and ensure high accuracy. Moreover, the MMS filter is used to process object handling control data to enable hand motion-tracking. Its performance is evaluated in terms of accuracy, latency, and robustness to finger length variations. We achieved a very low processing delay of 145.37 μs per finger and overall hand motion-tracking latency of 4 ms. Moreover, we tested the proposed glove with 10 subjects and achieved an average mean absolute error (MAE) of 3.091∘ for flexion/extension, and 2.068∘ for adduction/abduction. The proposed method is therefore superior to the existing methods in terms of the above factors for immersive VR interaction. |
| Databáze: | OpenAIRE |
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