Smart Water Dispenser: Integrating Voice Commands and Facial Gestures

In this paper, we introduce a novel water dispensing system that leverages voice recognition and head movement tracking to provide a seamless, hands-free user experience. Traditional water dispensers require manual operation for selecting and dispensing hot, cold, or normal water, which can be inefficient and inconvenient. Our system addresses these issues by integrating advanced voice detection algorithms and real-time head movement tracking technology. Users can issue verbal commands to specify their preferred water temperature, while head gestures are employed to refine and confirm their selection. This dual-interface approach not only enhances usability but also caters to individuals with physical disabilities, improving accessibility and ease of use. We present the system's design, implementation, and preliminary user testing results, demonstrating its potential to transform traditional water dispensing methods into a more intuitive and inclusive solution. This innovation aims to streamline user interaction and set a new standard for smart appliance interfaces.

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Publication Details

Published
2024-11-06
DOI
https://doi.org/10.1109/icstsdg61998.2024.11026690
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
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article

Smart Water Dispenser: Integrating Voice Commands and Facial Gestures

G. Shanmugasundar, Su. Suganthi, A Dhanushkumar, Shanmuga Vadivu Pandy S et al.
IoT-based Smart Home Systems
article

Smart Water Dispenser: Integrating Voice Commands and Facial Gestures

G. Shanmugasundar, Su. Suganthi, A Dhanushkumar, Shanmuga Vadivu Pandy S, L Jeevanandam, A Dharunkumar
article en

Abstract

In this paper, we introduce a novel water dispensing system that leverages voice recognition and head movement tracking to provide a seamless, hands-free user experience. Traditional water dispensers require manual operation for selecting and dispensing hot, cold, or normal water, which can be inefficient and inconvenient. Our system addresses these issues by integrating advanced voice detection algorithms and real-time head movement tracking technology. Users can issue verbal commands to specify their preferred water temperature, while head gestures are employed to refine and confirm their selection. This dual-interface approach not only enhances usability but also caters to individuals with physical disabilities, improving accessibility and ease of use. We present the system's design, implementation, and preliminary user testing results, demonstrating its potential to transform traditional water dispensing methods into a more intuitive and inclusive solution. This innovation aims to streamline user interaction and set a new standard for smart appliance interfaces.

Sri Ramachandra Institute of Higher Education and Research (IN), Intel (India) (IN)
Openalex Percentile: Top 72%
IoT-based Smart Home Systems
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