Evidence map›Paper›PMID 34070608›Full record

ArticleSensors (Basel, Switzerland)2021

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

Donghyun Sim, Yoonchul Baek, Minjeong Cho, Sunghoon Park, A S M Sharifuzzaman Sagar, Hyung Seok Kim

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Trial
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Donghyun SimDepartment of Intelligent Mechatronics Engineering, Sejong University, Seoul 05006, Korea.ORCID 0000-0002-6687-5016
Yoonchul BaekDepartment of Intelligent Mechatronics Engineering, Sejong University, Seoul 05006, Korea.
Minjeong ChoDepartment of Information and Communication Engineering, Sejong University, Seoul 05006, Korea.
Sunghoon ParkDepartment of Intelligent Mechatronics Engineering, Sejong University, Seoul 05006, Korea.
A S M Sharifuzzaman SagarDepartment of Intelligent Mechatronics Engineering, Sejong University, Seoul 05006, Korea.
Hyung Seok KimDepartment of Intelligent Mechatronics Engineering, Sejong University, Seoul 05006, Korea.

Funding

National Research Foundation of Korea 2019R1A4A1023746National Research Foundation of Korea 2019R1F1A1060799
6 · The paper itself

Abstract

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.

Indexed as

Virtual RealityFingersHandHumansMovementTouchhand motion capturehaptic open glovehuman computer interactionimmersive VR interactionMMS filterrotary position sensor

Identifiers

PMID34070608
PMCPMC8198336

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.