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
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
下载
收藏
页数:10
相关论文
共 50 条
  • [31] ARsinoe (sic) - Learning Egyptian Hieroglyphs with Augmented Reality and Machine Learning
    Plecher, David A.
    Eichhorn, Christian
    Seyam, Khaled M.
    Klinker, Gudrun
    ADJUNCT PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY (ISMAR-ADJUNCT 2020), 2020, : 326 - 332
  • [32] Augmented Physics-Based Machine Learning for Navigation and Tracking
    Imbiriba, Tales
    Straka, Ondrej
    Dunik, Jindrich
    Closas, Pau
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2024, 60 (03) : 2692 - 2704
  • [33] Estimating Visibility of Annotations for View Management in Spatial Augmented Reality Based on Machine-Learning Techniques
    Ichihashi, Keita
    Fujinami, Kaori
    SENSORS, 2019, 19 (04)
  • [34] An augmented reality tool for learning spatial anatomy on mobile devices
    Jain, Nishant
    Youngblood, Patricia
    Hasel, Matthew
    Srivastava, Sakti
    CLINICAL ANATOMY, 2017, 30 (06) : 736 - 741
  • [35] Wearable Device Localisation Using Machine Learning Techniques
    de Arruda, Damian
    Hancke, Gerhard P.
    PROCEEDINGS 2016 IEEE 25TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2016, : 1110 - 1115
  • [36] Recent Advances in Wearable Sensors and Integrated Functional Devices for Virtual and Augmented Reality Applications
    Kim, Hojoong
    Kwon, Young-Tae
    Lim, Hyo-Ryoung
    Kim, Jong-Hoon
    Kim, Yun-Soung
    Yeo, Woon-Hong
    ADVANCED FUNCTIONAL MATERIALS, 2021, 31 (39)
  • [37] Integrating Machine Learning with Augmented Reality for Accessible Assistive Technologies
    Barakat, Basel
    Hall, Lynne
    Keates, Simeon
    UNIVERSAL ACCESS IN HUMAN-COMPUTER INTERACTION: USER AND CONTEXT DIVERSITY, UAHCI 2022, PT II, 2022, 13309 : 175 - 186
  • [38] On the Use of Augmented Reality Techniques in Learning and Interpretation of Cardiologic Data
    Lamounier, Edgard, Jr.
    Bucioli, Arthur
    Cardoso, Alexandre
    Andrade, Adriano
    Soares, Alcimar
    2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2010, : 610 - 613
  • [39] Enhancing STEM Education using Augmented Reality and Machine Learning
    Ang, Ivan Jie Xiong
    Lim, King Hann
    2019 7TH INTERNATIONAL CONFERENCE ON SMART COMPUTING & COMMUNICATIONS (ICSCC), 2019, : 94 - 98
  • [40] Deep learning-based smart task assistance in wearable augmented reality
    Park, Kyeong-Beom
    Kim, Minseok
    Choi, Sung Ho
    Lee, Jae Yeol
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2020, 63