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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM47849
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
A natural way to accomplish Human-Computer Interaction (HCI) is through the visual interpretation of hand gestures. In this paper, we describe a method for configuring a smart home in which a hand gesture recognition system can be used to control the appliances. More precisely, this recognition system effectively differentiates between pre-trained gestures and correctly identifies them to operate the appliances by using transfer learning, a machine learning technique. In order to activate the appliances, the gestures are sequentially recognized as commands. An Arduino Uno microcontroller, which is connected to the PC where the gesture recognition is actually implemented, is used to control a set of LEDs that represent the appliances in order to demonstrate the proof of concept. .
KEYWORDS
Publication Date
5/14/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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