Human activity recognition using neural networks

被引：39

作者：

Oniga, Stefan ^{[1
]}

Sueto, Jozsef ^{[1
]}

机构：

[1] Univ Debrecen, Dept Informat Syst & Networks, Fac Informat, Debrecen, Hungary

来源：

2014 15TH INTERNATIONAL CARPATHIAN CONTROL CONFERENCE (ICCC) | 2014年

关键词：

Assistive technologies; e-Health; Activity recognition; Artificial Neural Networks; Assistive and telepresence robots; CLASSIFICATION; ACCELEROMETER;

D O I：

10.1109/CarpathianCC.2014.6843636

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents research made for independent daily life assistance of elderly or persons with disabilities using IoT technologies. Our scope is to develop a system that allows living for as long as possible in familiar environment. This will be possible by wider spread of assistive technologies and the internet of things (IoT). We aim to bring together latest achievements in domain of Internet of things and assistive technologies in order to develop a complex assistive system with adaptive capability and learning behavior. We can use IoT technologies to monitor in real time the state of a patient or to get sensitive data in order to be subsequently analyzed for a medical diagnosis. We present the state of our work related to the development of an assistive assembly consisting of a smart and assistive environment, a human activity and health monitoring system, an assistive and telepresence robot, together with the related components and cloud services.

引用

页码：403 / 406

页数：4

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