Abstract
While the content of virtual reality (VR) has grown explosively in recent years, the advance of designing user-friendly control interfaces in VR still remains a slow pace. The most commonly used device, such as gamepad or controller, has fixed shape and weight, and thus can not provide realistic haptic feedback when interacting with virtual objects in VR. In this work, we present a novel and lightweight tracking system in the context of manipulating handheld objects in VR. Specifically, our system can effortlessly synchronize the 3D pose of arbitrary handheld objects between the real world and VR in realtime performance. The tracking algorithm is simple, which delicately leverages the power of Leap Motion and IMU sensor to respectively track object’s location and orientation. We demonstrate the effectiveness of our system with three VR applications use pencil, ping-pong paddle, and smartphone as control interfaces to provide users more immersive VR experience.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - VRST 2018 |
| Subtitle of host publication | 24th ACM Symposium on Virtual Reality Software and Technology |
| Editors | Stephen N. Spencer |
| Publisher | Association for Computing Machinery |
| ISBN (Electronic) | 9781450360869 |
| DOIs | |
| Publication status | Published - 2018 Nov 28 |
| Event | 24th ACM Symposium on Virtual Reality Software and Technology, VRST 2018 - Tokyo, Japan Duration: 2018 Nov 28 → 2018 Dec 1 |
Publication series
| Name | Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST |
|---|
Other
| Other | 24th ACM Symposium on Virtual Reality Software and Technology, VRST 2018 |
|---|---|
| Country | Japan |
| City | Tokyo |
| Period | 18-11-28 → 18-12-01 |
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All Science Journal Classification (ASJC) codes
- Software
Cite this
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A lightweight and efficient system for tracking handheld objects in virtual reality. / Chang, Ya Kuei; Huang, Jui Wei; Chen, Chien Hua; Chen, Chien Wen; Peng, Jian Wei; Hu, Min-Chun; Yao, Chih Yuan; Chu, Hung Kuo.
Proceedings - VRST 2018: 24th ACM Symposium on Virtual Reality Software and Technology. ed. / Stephen N. Spencer. Association for Computing Machinery, 2018. 3281567 (Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - A lightweight and efficient system for tracking handheld objects in virtual reality
AU - Chang, Ya Kuei
AU - Huang, Jui Wei
AU - Chen, Chien Hua
AU - Chen, Chien Wen
AU - Peng, Jian Wei
AU - Hu, Min-Chun
AU - Yao, Chih Yuan
AU - Chu, Hung Kuo
PY - 2018/11/28
Y1 - 2018/11/28
N2 - While the content of virtual reality (VR) has grown explosively in recent years, the advance of designing user-friendly control interfaces in VR still remains a slow pace. The most commonly used device, such as gamepad or controller, has fixed shape and weight, and thus can not provide realistic haptic feedback when interacting with virtual objects in VR. In this work, we present a novel and lightweight tracking system in the context of manipulating handheld objects in VR. Specifically, our system can effortlessly synchronize the 3D pose of arbitrary handheld objects between the real world and VR in realtime performance. The tracking algorithm is simple, which delicately leverages the power of Leap Motion and IMU sensor to respectively track object’s location and orientation. We demonstrate the effectiveness of our system with three VR applications use pencil, ping-pong paddle, and smartphone as control interfaces to provide users more immersive VR experience.
AB - While the content of virtual reality (VR) has grown explosively in recent years, the advance of designing user-friendly control interfaces in VR still remains a slow pace. The most commonly used device, such as gamepad or controller, has fixed shape and weight, and thus can not provide realistic haptic feedback when interacting with virtual objects in VR. In this work, we present a novel and lightweight tracking system in the context of manipulating handheld objects in VR. Specifically, our system can effortlessly synchronize the 3D pose of arbitrary handheld objects between the real world and VR in realtime performance. The tracking algorithm is simple, which delicately leverages the power of Leap Motion and IMU sensor to respectively track object’s location and orientation. We demonstrate the effectiveness of our system with three VR applications use pencil, ping-pong paddle, and smartphone as control interfaces to provide users more immersive VR experience.
UR - http://www.scopus.com/inward/record.url?scp=85060917502&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060917502&partnerID=8YFLogxK
U2 - 10.1145/3281505.3281567
DO - 10.1145/3281505.3281567
M3 - Conference contribution
AN - SCOPUS:85060917502
T3 - Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST
BT - Proceedings - VRST 2018
A2 - Spencer, Stephen N.
PB - Association for Computing Machinery
ER -