Wearable indoor localisation approach in Internet of Things

IET Networks

Xu Zhang¹  Juanbao Zhang²  Haojun Huang³  Jianguo Zhou³  Wei Li³  Guolin Hou⁴ 

[1] Department of Computer Science and TechnologyTsinghua UniversityBeijingPeople's Republic of China;School of Computer Science and TechnologyZhongyuan University of TechnologyZhengzhouPeople's Republic of China;School of Electronic InformationWuhan UniversityWuhanPeople's Republic of China;Science and Technology on Near‐surface Detection LaboratoryWuxiPeople's Republic of China;

关键词: wearable indoor localisation approach;    Internet of Things;    indoor IoT;    health care;    wearable devices;    displacement vector;   

DOI  :  10.1049/iet-net.2016.0007

来源: DOAJ

【 摘 要 】

Localisation is an essential and important research issue in Internet of Things (IoT). Most localisation schemes focus on outdoor IoT. However, indoor IoT is required in some applications such as target detection and tracking, and emerging smarter healthcare. As such, localisation approaches designed for indoor IoT are necessary. Note that the smarter healthcare emerges at an unprecedented speed while few localisation schemes can be directly exploited for them with accuracy guarantee. In this study, the authors propose a wearable indoor localisation approach to improve the localisation accuracy of previous work. In this approach, the wearable devices embedded into person are used to realise their displacement vector in mobile environments, thus estimating their own locations. In addition, the authors propose a walking prediction mechanism to increase localisation accuracy. The real‐world experiment results demonstrate that the proposed approach achieves lower localisation error in various moving speeds.

【 授权许可】

Unknown