Gesture Based Model using Deep Learning

It's a pretty innovative way to make presentations more interactive and engaging. Instead of fumbling with a clicker or computer, we can use hand gestures to navigate the slides. It's a simple and intuitive method that can make a big difference in the effectiveness of our presentation. We are describing a system that allows users to control a slideshow using hand gestures instead of pausing and operating it with a keyboard. This presentation is quite interesting and informative. It is focused on exploring the effectiveness of gesture-based interfaces in Human-Computer Interaction. The research aims to provide valuable insights into the relationship between users and technology and how it can be improved through gesture-driven interaction. This research delves into the effectiveness of gesture recognition algorithms, user learning curves, and the impact of environmental factors on system performance.

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Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1109/acet61898.2024.10729981
Citations
1
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.37
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Gesture Based Model using Deep Learning

Ahmad S. Kazmi, Sachin Jain, Aakanksha Aakanksha, Anuja Dixit et al.
1 citations
Hand Gesture Recognition Systems
0.37
article

Gesture Based Model using Deep Learning

Ahmad S. Kazmi, Sachin Jain, Aakanksha Aakanksha, Anuja Dixit, Km Manorama
article en
1 citations

Abstract

It's a pretty innovative way to make presentations more interactive and engaging. Instead of fumbling with a clicker or computer, we can use hand gestures to navigate the slides. It's a simple and intuitive method that can make a big difference in the effectiveness of our presentation. We are describing a system that allows users to control a slideshow using hand gestures instead of pausing and operating it with a keyboard. This presentation is quite interesting and informative. It is focused on exploring the effectiveness of gesture-based interfaces in Human-Computer Interaction. The research aims to provide valuable insights into the relationship between users and technology and how it can be improved through gesture-driven interaction. This research delves into the effectiveness of gesture recognition algorithms, user learning curves, and the impact of environmental factors on system performance.

Institute of Management Technology (IN)
Openalex Percentile: Top 38%
Hand Gesture Recognition Systems
0.37
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Gesture Based Model using Deep Learning — Ahmad S. Kazmi, Sachin Jain, et al. · (2024) | TGRS Research Map | TGRS