Open AccessA review of AI Technologies for Wearable Devices
Author(s) -
Chun Yu Jin
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/688/4/044072
Subject(s) - wearable computer , computer science , wearable technology , data science , popularity , process (computing) , point (geometry) , human–computer interaction , big data , data processing , artificial intelligence , data mining , embedded system , database , psychology , social psychology , geometry , mathematics , operating system
With the popularity of wearable devices, we can collect various data to support a series of innovative applications. The complex and massive data requires stronger data processing technologies. In recent years, artificial intelligence technology has been used to process this rich but complex data. In this paper, we summarize the research of AI technologies for wearable devices, from the aspects of types of wearable devices, collected data, models, and applications. We find that artificial intelligence technology has not only made a breakthrough in performance over traditional methods, but also creates a series of new applications. For the future research directions, we also point out some problems, e.g., the sensor data measurement and classification are not accurate enough, which would inspires the following research to investigate further.