Wireless Voice Recognition Based Personal Computer Control System for Hand Impaired Patients using LabVIEW

<p><span>In today's digital era, individuals with hand impairments face significant challenges in interacting with computers, limiting their access to essential resources and technology. This paper presents a Wireless Voice Recognition-Based Personal Computer Control System, designed to enable hands-free operation using LabVIEW and speech recognition technology. The system captures voice commands, processes them using machine learning algorithms, and transmits the corresponding control signals wirelessly to a computer. By integrating LabVIEW for signal processing and automation, the system enhances accessibility, allowing users to perform essential tasks such as opening applications, browsing, typing, and controlling system functions through voice input. The proposed model aims to improve the independence and efficiency of hand-impaired individuals, offering a cost-effective, user-friendly, and reliable solution for seamless computer interaction. Experimental results demonstrate high accuracy and low latency in executing commands, proving its potential for real-world applications. This research highlights the importance of assistive technology in bridging the digital divide and fostering an inclusive computing environment. <span> </span></span></p>