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

doi:10.1007/978-3-319-21380-4_82

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

School of Integrated Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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 language	English
Title of host publication	HCI International 2015 – Posters Extended Abstracts - International Conference, HCI International 2015, Proceedings
Editors	Constantine Stephanidis
Publisher	Springer Verlag
Pages	485-490
Number of pages	6
ISBN (Print)	9783319213798
DOIs	https://doi.org/10.1007/978-3-319-21380-4_82
Publication status	Published - 2015
Event	17th International Conference on Human Computer Interaction, HCI 2015 - Los Angeles, United States Duration: 2015 Aug 2 → 2015 Aug 7

Publication series

Name	Communications in Computer and Information Science
Volume	528
ISSN (Print)	1865-0929

Other

Other	17th International Conference on Human Computer Interaction, HCI 2015
Country/Territory	United States
City	Los Angeles
Period	15/8/2 → 15/8/7

Bibliographical note

Funding Information:
This research was supported by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the “IT Consilience Creative Program” (NIPA-2014-H0201-14-1002) supervised by the NIPA(National IT Industry Promotion Agency).

Publisher Copyright:
© Springer International Publishing Switzerland 2015.

All Science Journal Classification (ASJC) codes

Computer Science(all)
Mathematics(all)

Access to Document

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

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 et al. / 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{\textquoteright}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 {\textquoteleft}Walking in Virtual Reality{\textquoteright} 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",

note = "Funding Information: This research was supported by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the “IT Consilience Creative Program” (NIPA-2014-H0201-14-1002) supervised by the NIPA(National IT Industry Promotion Agency). Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 17th International Conference on Human Computer Interaction, HCI 2015 ; Conference date: 02-08-2015 Through 07-08-2015",

year = "2015",

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 et al.

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 proceeding › Conference 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

N1 - Funding Information: This research was supported by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the “IT Consilience Creative Program” (NIPA-2014-H0201-14-1002) supervised by the NIPA(National IT Industry Promotion Agency). Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

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

T2 - 17th International Conference on Human Computer Interaction, HCI 2015

Y2 - 2 August 2015 through 7 August 2015

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

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

Abstract

Publication series

Other

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this