Development a home electrical equipment control device via voice commands for elderly assistance

The paper develops a home electrical equipment control device via voice commands for elderly assistance. This study offers a processing Natural Language Processing (NLP) to extract the text from human voice command in case of the turn on and off home's light switch. First, to analyze and design the structure of sound from the mobile phone which has the elderly support system installed then compare the words with learned database. Secondly, to measure the accuracy of command voice with the confusion matrix model. Finally, to verify order voice between users and systems for matching controlling communication. The experiment result shows that 30 messages extracted voice command from sample group age between 55-60 years old accuracy 85 per cent and able to develop an application using voice commands for old people.