Voice Based Secured Smart Lock Design for Internet of Medical Things: An Artificial Intelligence Approach

Abstract

Healthcare is one of the sectors that has been revolutionized by IoT. Internet-of-Medical-Things (IoMT) technologies have been released as an IoT branch, and healthcare is one of the industries that has been revolutionized by IoT. IoMT devices can be used to remotely monitor patients with chronic conditions. As a result, it may be able to quickly diagnose patients, potentially saving their lives in an emergency. The first and most important step in ensuring a device's security is to install a solid lock system. Users must have a smart lock on their medical equipment in order for their medical history to remain secure and untampered with. This research proposes a smart lock based solely on speech recognition, which will be useful in IoMT for securing a device's medical history. A VCS (voice-controlled system) that uses AI-assisted acoustic feature extraction and NLP to anticipate voice is proposed. Smart locks, which monitor and track a user's devices lock/unlock state, have piqued the security industry's interest. Then there's an overview of how AI can be applied to IoMT. A detailed design of a voice-controlled smart-lock, as well as many technological developments, are described.