抓住
人工智能
计算机科学
可穿戴计算机
机器学习
深度学习
人类行为
特征(语言学)
人类智力
可穿戴技术
人机交互
语言学
哲学
嵌入式系统
程序设计语言
作者
Myung Hwan Yun,Ilsun Rhiu,Wonjoon Kim,Yushin Lee,Yong Min Kim
出处
期刊:Elsevier eBooks
[Elsevier]
日期:2022-01-01
卷期号:: 191-204
标识
DOI:10.1016/b978-0-323-85648-5.00010-4
摘要
Various types of biosignals can be measured and utilized to monitor and predict user behavior. In particular, by using wearable sensors and imaging techniques, it has become possible to obtain related information while minimizing user behavior disruption. However, existing analytic models for user behavior prediction do not accurately grasp the feature of data and have a problem in that the accuracy of behavior prediction is poor when applied in the real world. Researchers have utilized artificial intelligence (AI) technology based on machine/deep learning to solve these problems. In this chapter, the authors reviewed how AI and deep learning techniques have contributed to analyzing human behavior. The authors proposed implications and future tasks for human behavior analysis using AI based on the review.
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