Augmented Reality-Centered Position Navigation for Wearable Devices with Machine Learning Techniques

被引：3

作者：

Kamalam, G. K. ^{[1
]}

Joshi, Shubham ^{[2
]}

Maheshwari, Manish ^{[3
]}

Selvan, K. Senthamil ^{[4
]}

Jamal, Sajjad Shaukat ^{[5
]}

Vairaprakash, S. ^{[6
]}

Alhassan, Musah ^{[7
]}

机构：

[1] Kongu Engn Coll, Dept Informat Technol, Erode, Tamil Nadu, India

[2] SVKMS NMIMS MPSTME, Comp Engn, Shirpur Campus, Shirpur, India

[3] Makhanlal Chaturvedi Natl Univ Journalism & Commu, Dept Comp Sci & Applicat, Bhopal, Madhya Pradesh, India

[4] Prince Shri Venkateshwara Padmavathy Engn Coll, Chennai, Tamil Nadu, India

[5] King Khalid Univ, Coll Sci, Dept Math, Abha, Saudi Arabia

[6] Ramco Inst Technol, Dept ECE, Rajapalayam, Tamil Nadu, India

[7] Univ Dev Studies, Sch Engn, Elect Engn Dept, Nyankpala Campus, Nyankpala, Ghana

来源：

JOURNAL OF HEALTHCARE ENGINEERING | 2022年 / 2022卷

关键词：

INDOOR NAVIGATION; CLOUDS;

D O I：

10.1155/2022/1083978

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

People have always relied on some form of instrument to assist them to get to their destination, from hand-drawn maps and compasses to technology-based navigation systems. Many individuals these days have a smartphone with them at all times, making it a common part of their routine. Using GPS technology, these cellphones offer applications such as Google Maps that let people find their way around the outside world. Indoor navigation, on the other hand, does not offer the same level of precision. The development of indoor navigation systems is continuously ongoing. Bluetooth, Wi-Fi, RFID, and computer vision are some of the existing technologies used for interior navigation in current systems. In this article, we discuss the shortcomings of current indoor navigation solutions and offer an alternative approach based on augmented reality and ARCore. Navigating an indoor environment is made easier with ARCore, which brings augmented reality to your smartphone or tablet.

引用

页数：10