A Real-Time Sensing of Gait and Viewing Direction for Human Interaction in Virtual Training Applications

被引:0
|
作者
Ha, Gyutae [1 ]
Lee, Sangho [1 ]
Cha, Jaekwang [1 ]
Lee, Hojun [1 ]
Kim, Taewoo [1 ]
Kim, Shiho [1 ]
机构
[1] Yonsei Univ, Sch Integrated Technol, YICT, Inchon 406840, South Korea
关键词
Virtual reality; Virtual training; Walking-in-place; Walking recognition; Wearable sensor; IMU; ACCELEROMETERS;
D O I
10.1007/978-3-319-21380-4_82
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents an integrated framework for real-time sensing and synchronization of both user's moving speed with direction and viewing direction in walking-in-place experience for virtual training applications. The framework consists of two inertial measurement units (IMU) attached to each shank and a HMD made up of Android mobile device with 3-axis orientation sensor. Although there are several prior works to enable unconstrained omnidirectional walking through virtual environments, an implementation of the low cost interface solution using wearable devices is an important issue for virtual training systems. We provide a simplified technique for implementing 'Walking in Virtual Reality' without omnidirectional treadmill. In addition, this research aims to lightweight (in point of software) and portable (in point of hardware) solution to implement the Virtual Reality Walk-In-Place(VR WIP) interface for training applications.
引用
收藏
页码:485 / 490
页数:6
相关论文
共 50 条
  • [1] Emotional characteristic analysis of human gait while real-time movie viewing
    Jianwattanapaisarn, Nitchan
    Sumi, Kaoru
    Utsumi, Akira
    Khamsemanan, Nirattaya
    Nattee, Cholwich
    [J]. FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2022, 5
  • [2] Gait Training using Virtual Reality and Real-Time Feedback in a Transfemoral Amputee
    Darter, Benjamin J.
    Wilken, Jason M.
    Brawner, Melissa E.
    Sinitski, Emily
    [J]. 2009 VIRTUAL REHABILITATION INTERNATIONAL CONFERENCE, 2009, : 212 - 212
  • [3] A Solution to Real-time Interaction of Virtual Knee Arthroscopy Training System
    Li, Jinfang
    Wen, Junwei
    He, Hanwu
    Mo, Jianqing
    [J]. PROCEEDINGS OF THE 2013 6TH INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS (BMEI 2013), VOLS 1 AND 2, 2013, : 438 - 443
  • [4] Real-time interaction of virtual and physical objects in mixed reality applications
    Badias, Alberto
    Gonzalez, David
    Alfaro, Iciar
    Chinesta, Francisco
    Cueto, Elias
    [J]. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2020, 121 (17) : 3849 - 3868
  • [5] Real-Time Human Lower Limbs Motion Estimation and Feedback for Potential Applications in Robotic Gait Aid and Training
    Wang, Lei
    Li, Qingguo
    Yi, Jingang
    Zhang, Jinyuan
    Liu, Tao
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021), 2021, : 8465 - 8471
  • [6] Gait Training With Virtual Reality-Based Real-Time Feedback: Improving Gait Performance Following Transfemoral Amputation
    Darter, Benjamin J.
    Wilken, Jason M.
    [J]. PHYSICAL THERAPY, 2011, 91 (09): : 1385 - 1394
  • [7] Real-time gait biometrics for surveillance applications: A review
    Parashar, Anubha
    Parashar, Apoorva
    Abate, Andrea F.
    Shekhawat, Rajveer Singh
    Rida, Imad
    [J]. IMAGE AND VISION COMPUTING, 2023, 138
  • [8] Virtual sensor models for real-time applications
    Hirsenkorn, Nils
    Hanke, Timo
    Rauch, Andreas
    Dehlink, Bernhard
    Rasshofer, Ralph
    Biebl, Erwin
    [J]. ADVANCES IN RADIO SCIENCE, 2016, 14 (14) : 31 - 37
  • [9] Real-time profile of microcantilevers for sensing applications
    Mertens, J
    Alvarez, M
    Tamayo, J
    [J]. APPLIED PHYSICS LETTERS, 2005, 87 (23) : 1 - 3
  • [10] Real-time Gesture Animation Generation from Speech for Virtual Human Interaction
    Rebol, Manuel
    Guetl, Christian
    Pietroszek, Krzysztof
    [J]. EXTENDED ABSTRACTS OF THE 2021 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'21), 2021,