Cloud-Enabled Wireless Gesture Control System for Humanoid Bionic Arm Using IOT

The Internet of Things (IOT) connects Tangible assets via data fusion facilitating information interchange. Ranging from basic temperature sensors to sophisticated industrial robots, IOT covers a wide range of applications. Cloud computing offers immediate access to computing services, reducing infrastructure expenses. Inclinometer sensors and cameras combine for advanced hand gesture recognition, capturing initial movements through real time video analysis. An innovative IR - based recognition system, supported by Intelli-cloud and AES (Advanced Encryption Standard) security, enhances the framework. Technological progress narrows the human-machine divide, highlighting gestures in communication. Hand-arm robotic research emphasizes freedom levels, grip efficacy, and adaptability using sensor-focused methods, shaping the evolution of human-robot interaction.

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Publication Details

Published
2024-11-23
DOI
https://doi.org/10.1109/icicat62666.2024.10923175
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Cloud-Enabled Wireless Gesture Control System for Humanoid Bionic Arm Using IOT

V Sandhiya, S. Geetha, S Vichitra, V Yuvarani
Hand Gesture Recognition Systems
article

Cloud-Enabled Wireless Gesture Control System for Humanoid Bionic Arm Using IOT

V Sandhiya, S. Geetha, S Vichitra, V Yuvarani
article en

Abstract

The Internet of Things (IOT) connects Tangible assets via data fusion facilitating information interchange. Ranging from basic temperature sensors to sophisticated industrial robots, IOT covers a wide range of applications. Cloud computing offers immediate access to computing services, reducing infrastructure expenses. Inclinometer sensors and cameras combine for advanced hand gesture recognition, capturing initial movements through real time video analysis. An innovative IR - based recognition system, supported by Intelli-cloud and AES (Advanced Encryption Standard) security, enhances the framework. Technological progress narrows the human-machine divide, highlighting gestures in communication. Hand-arm robotic research emphasizes freedom levels, grip efficacy, and adaptability using sensor-focused methods, shaping the evolution of human-robot interaction.

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Hand Gesture Recognition Systems
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