A real-time sensing of gait and viewing direction for human interaction in virtual training applications

Gyutae Ha, Sangho Lee, Jaekwang Cha, Hojun Lee, Taewoo Kim, Shiho Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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 HMDmade 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.

Original languageEnglish
Title of host publicationHCI International 2015 – Posters Extended Abstracts - International Conference, HCI International 2015, Proceedings
EditorsConstantine Stephanidis
PublisherSpringer Verlag
Pages485-490
Number of pages6
ISBN (Print)9783319213798
DOIs
Publication statusPublished - 2015 Jan 1
Event17th International Conference on Human Computer Interaction, HCI 2015 - Los Angeles, United States
Duration: 2015 Aug 22015 Aug 7

Publication series

NameCommunications in Computer and Information Science
Volume528
ISSN (Print)1865-0929

Other

Other17th International Conference on Human Computer Interaction, HCI 2015
CountryUnited States
CityLos Angeles
Period15/8/215/8/7

Fingerprint

Gait
Virtual reality
Sensing
Virtual Reality
Real-time
Interaction
Exercise equipment
Units of measurement
Virtual Environments
Walk
Mobile devices
Mobile Devices
Synchronization
Hardware
Sensor
Unit
Software
Sensors
Training
Human

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

Cite this

Ha, G., Lee, S., Cha, J., Lee, H., Kim, T., & Kim, S. (2015). A real-time sensing of gait and viewing direction for human interaction in virtual training applications. In C. Stephanidis (Ed.), HCI International 2015 – Posters Extended Abstracts - International Conference, HCI International 2015, Proceedings (pp. 485-490). (Communications in Computer and Information Science; Vol. 528). Springer Verlag. https://doi.org/10.1007/978-3-319-21380-4_82
Ha, Gyutae ; Lee, Sangho ; Cha, Jaekwang ; Lee, Hojun ; Kim, Taewoo ; Kim, Shiho. / A real-time sensing of gait and viewing direction for human interaction in virtual training applications. HCI International 2015 – Posters Extended Abstracts - International Conference, HCI International 2015, Proceedings. editor / Constantine Stephanidis. Springer Verlag, 2015. pp. 485-490 (Communications in Computer and Information Science).
@inproceedings{c337c572e1f04d54b6ffb9124d63e900,
title = "A real-time sensing of gait and viewing direction for human interaction in virtual training applications",
abstract = "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 HMDmade 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.",
author = "Gyutae Ha and Sangho Lee and Jaekwang Cha and Hojun Lee and Taewoo Kim and Shiho Kim",
year = "2015",
month = "1",
day = "1",
doi = "10.1007/978-3-319-21380-4_82",
language = "English",
isbn = "9783319213798",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "485--490",
editor = "Constantine Stephanidis",
booktitle = "HCI International 2015 – Posters Extended Abstracts - International Conference, HCI International 2015, Proceedings",
address = "Germany",

}

Ha, G, Lee, S, Cha, J, Lee, H, Kim, T & Kim, S 2015, A real-time sensing of gait and viewing direction for human interaction in virtual training applications. in C Stephanidis (ed.), HCI International 2015 – Posters Extended Abstracts - International Conference, HCI International 2015, Proceedings. Communications in Computer and Information Science, vol. 528, Springer Verlag, pp. 485-490, 17th International Conference on Human Computer Interaction, HCI 2015, Los Angeles, United States, 15/8/2. https://doi.org/10.1007/978-3-319-21380-4_82

A real-time sensing of gait and viewing direction for human interaction in virtual training applications. / Ha, Gyutae; Lee, Sangho; Cha, Jaekwang; Lee, Hojun; Kim, Taewoo; Kim, Shiho.

HCI International 2015 – Posters Extended Abstracts - International Conference, HCI International 2015, Proceedings. ed. / Constantine Stephanidis. Springer Verlag, 2015. p. 485-490 (Communications in Computer and Information Science; Vol. 528).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A real-time sensing of gait and viewing direction for human interaction in virtual training applications

AU - Ha, Gyutae

AU - Lee, Sangho

AU - Cha, Jaekwang

AU - Lee, Hojun

AU - Kim, Taewoo

AU - Kim, Shiho

PY - 2015/1/1

Y1 - 2015/1/1

N2 - 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 HMDmade 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.

AB - 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 HMDmade 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.

UR - http://www.scopus.com/inward/record.url?scp=84951746929&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84951746929&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-21380-4_82

DO - 10.1007/978-3-319-21380-4_82

M3 - Conference contribution

AN - SCOPUS:84951746929

SN - 9783319213798

T3 - Communications in Computer and Information Science

SP - 485

EP - 490

BT - HCI International 2015 – Posters Extended Abstracts - International Conference, HCI International 2015, Proceedings

A2 - Stephanidis, Constantine

PB - Springer Verlag

ER -

Ha G, Lee S, Cha J, Lee H, Kim T, Kim S. A real-time sensing of gait and viewing direction for human interaction in virtual training applications. In Stephanidis C, editor, HCI International 2015 – Posters Extended Abstracts - International Conference, HCI International 2015, Proceedings. Springer Verlag. 2015. p. 485-490. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-319-21380-4_82