Evidence map›Paper›PMID 38931542›Full record

ReviewSensors (Basel, Switzerland)2024

Static and Dynamic Hand Gestures: A Review of Techniques of Virtual Reality Manipulation.

Oswaldo Mendoza Herbert, David Pérez-Granados, Mauricio Alberto Ortega Ruiz, Rodrigo Cadena Martínez, Carlos Alberto González Gutiérrez, Marco Antonio Zamora Antuñano

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Oswaldo Mendoza HerbertEngineering Departament, Centro de Investigación, Innovación y Desarrollo Tecnológico de UVM (CIIDETEC-Querétaro), Universidad del Valle de México, Querétaro 76230, Mexico.
David Pérez-GranadosEngineering Departament, Centro de Investigación, Innovación y Desarrollo Tecnológico de UVM (CIIDETEC-Coyoacán), Universidad del Valle de México, Coyoacán 04910, Mexico.ORCID 0000-0002-0204-9508
Mauricio Alberto Ortega RuizEngineering Departament, Centro de Investigación, Innovación y Desarrollo Tecnológico de UVM (CIIDETEC-Coyoacán), Universidad del Valle de México, Coyoacán 04910, Mexico.
Rodrigo Cadena MartínezPostgraduate Departament, Universidad Tecnológica de México (UNITEC), México City 11320, Mexico.ORCID 0000-0001-9323-6132
Carlos Alberto González GutiérrezEngineering Departament, Centro de Investigación, Innovación y Desarrollo Tecnológico de UVM (CIIDETEC-Querétaro), Universidad del Valle de México, Querétaro 76230, Mexico.
Marco Antonio Zamora AntuñanoEngineering Departament, Centro de Investigación, Innovación y Desarrollo Tecnológico de UVM (CIIDETEC-Querétaro), Universidad del Valle de México, Querétaro 76230, Mexico.ORCID 0000-0002-9865-3944

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review explores the historical and current significance of gestures as a universal form of communication with a focus on hand gestures in virtual reality applications. It highlights the evolution of gesture detection systems from the 1990s, which used computer algorithms to find patterns in static images, to the present day where advances in sensor technology, artificial intelligence, and computing power have enabled real-time gesture recognition. The paper emphasizes the role of hand gestures in virtual reality (VR), a field that creates immersive digital experiences through the Ma blending of 3D modeling, sound effects, and sensing technology. This review presents state-of-the-art hardware and software techniques used in hand gesture detection, primarily for VR applications. It discusses the challenges in hand gesture detection, classifies gestures as static and dynamic, and grades their detection difficulty. This paper also reviews the haptic devices used in VR and their advantages and challenges. It provides an overview of the process used in hand gesture acquisition, from inputs and pre-processing to pose detection, for both static and dynamic gestures.

Indexed as

GesturesHandVirtual RealityAlgorithmsArtificial IntelligenceHumansUser-Computer Interfacedynamic gesture detectionstatic gesture detectionvirtual reality haptics

Identifiers

PMID38931542
PMCPMC11207792

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.