Gesture-Based Interfaces in Pervasive Human-Machine Interaction Article Swipe
Vishakha D Bhandarkar
,
Pravesh Belwal
,
Sneha Kashyap
,
Dr. Satish Choudhury
,
R Savitha
,
Simranjeet Nanda
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.58346/jowua.2025.i4.027
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.58346/jowua.2025.i4.027
The integration of ubiquitous human-machine interaction systems. It provides a detailed explanation of how gestures can be used to make communication between the user and the machine as smooth as possible, especially when touch input is impractical or inappropriate. Some of the challenges of human-machine interaction identified by the paper include the need for hands-free or touchless interfaces. Gesture-based controls are a prospective solution to improve the user experience without touching anything. Several experiments were conducted to develop and test a gesture-based interface. The system's efficiency was determined through user interaction analysis and performance evaluation using various machine learning algorithms. The significant statistical observation was an accuracy of 85 percent in gesture recognition, with user error 30 percent lower than in traditional input modes. Gesture controls were found to be 20 percent faster than standard methods in completing the tasks. The paper concludes that gesture-based interfaces are highly effective in enhancing usability and efficiency in pervasive human-machine interactions, especially in situations where conventional input devices are constrained.
Related Topics
Concepts
Gesture
Usability
Computer science
Human–computer interaction
User interface
User experience design
Interaction technique
Mobile interaction
Ubiquitous computing
Gesture recognition
Test (biology)
Interface (matter)
Artificial intelligence
Multimedia
User-centered design
Statistical analysis
Mobile device
Machine learning
User interface design
Metadata
- Type
- article
- Landing Page
- https://doi.org/10.58346/jowua.2025.i4.027
- https://doi.org/10.58346/jowua.2025.i4.027
- OA Status
- bronze
- OpenAlex ID
- https://openalex.org/W7108606691
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W7108606691Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.58346/jowua.2025.i4.027Digital Object Identifier
- Title
-
Gesture-Based Interfaces in Pervasive Human-Machine InteractionWork title
- Type
-
articleOpenAlex work type
- Publication year
-
2025Year of publication
- Publication date
-
2025-12-05Full publication date if available
- Authors
-
Vishakha D Bhandarkar, Pravesh Belwal, Sneha Kashyap, Dr. Satish Choudhury, R Savitha, Simranjeet NandaList of authors in order
- Landing page
-
https://doi.org/10.58346/jowua.2025.i4.027Publisher landing page
- PDF URL
-
https://doi.org/10.58346/jowua.2025.i4.027Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
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https://doi.org/10.58346/jowua.2025.i4.027Direct OA link when available
- Concepts
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Gesture, Usability, Computer science, Human–computer interaction, User interface, User experience design, Interaction technique, Mobile interaction, Ubiquitous computing, Gesture recognition, Test (biology), Interface (matter), Artificial intelligence, Multimedia, User-centered design, Statistical analysis, Mobile device, Machine learning, User interface designTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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| institutions_distinct_count | 6 |
| citation_normalized_percentile.value | 0.82844157 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |