Open AccessThe Application of Artificial Intelligence Voice Recognition on Helping Elders Use Mobile Phones More Easily
Author(s) -
Qingyuan Yao
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1824/1/012007
Subject(s) - computer science , voice command device , human–computer interaction , obstacle , mobile device , phone , key (lock) , order (exchange) , artificial intelligence , multimedia , speech recognition , computer security , world wide web , linguistics , philosophy , finance , political science , law , economics
The problem that elders struggle to use mobile phone devices and elders often refuse to gain in touch with contacting devices with newest technologies have attracted people’s attention for a long time. It has already become a social phenomenon that elders tend to refuse smart devices such as smartphones. The reason is that most smartphones own a complex system, which has too high a difficulty for elders to master. The elders have a strong need for a way to remove the obstacle between their demands and the input of system orders. AI voice recognition, on the other hand, can basically remove this issue from consideration, for it can replace the manual manipulation part with machine-learning-based understanding of commands. Through deep learning methods mentioned in this paper, AI voice recognition can analyze orders given by voice, pick out key words and form into an order, and eventually execute the order properly. Voice recognition programs can also detect the elders’ health conditions through the attributes of the voice and make fast reactions automatically. This article aims to find a way to build targeted AI voice recognition systems for a specific kind of people, for example, the senior citizens, which is the target of the system in this article. This article also proposes rational prospects for future AI voice recognition applications in mental treatment or psychological researches areas.