Abstract
This paper presents an effective solution based on speech recognition to provide elderly people, patients and disabled people with an easy control system. The goal is to build a low-cost system based on speech recognition to easily access Internet of Things (IoT) devices installed in smart homes and hospitals without relying on a centralized supervisory system. The proposed system used a Raspberry Pi board to control home appliances through wireless with smartphones. The main purpose of this system is to facilitate interactions between the user and home appliances through IoT communications based on speech commands. The proposed framework contribution uses a hybrid Support Vector Machine (SVM) with a Dynamic Time Warping (DTW) algorithm to enhance the speech recognition process. The proposed solution is a machine learning-based system for controlling smart devices through speech commands with an accuracy of 97%. The results helped patients and elderly people to access and control IoT devices that are compatible with our system using speech recognition. The proposed speech recognition system is flexible with scalability and availability in adapting to existing smart IoT devices, and it provides privacy in managing patient devices. The research provides an effective method to integrate our systems among medical institutions to help elderly people and patients.
Highlights
In recent years, there have been many new solutions designed for elderly people, blind people, handicapped people, and patients living in their own homes without help to give them a way to be independent
This paper focuses on controlling smart home devices using a hybrid system for speech recognition and it is divided into four parts
Rahman et al [10] proposed an automatic speech recognition system based on Support Vector Machine (SVM) with the assistance of Dynamic Time Warping (DTW) for speakers of the isolated Bangla language
Summary
There have been many new solutions designed for elderly people, blind people, handicapped people, and patients living in their own homes without help to give them a way to be independent. An Internet of Things (IoT) home is a home that has integrated sensory devices connected through a network to help the user obtain information and alerts or to control their home appliances. Using speech recognition to control IoT-connected devices in a smart home is a great solution to facilitate the control of the devices. This paper presents a proposed speech recognition system to control appliances at smart homes or smart hospitals. Voice-based systems can provide a smart home with a speech recognition system with features to help visually impaired and elderly people to control devices [7]. This paper focuses on controlling smart home devices using a hybrid system for speech recognition and it is divided into four parts. The paper presents future work prospects and concludes the proposed system
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