Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 545-546 |
| Number of pages | 2 |
| ISBN (electronic) | 9798350348392 |
| ISBN (print) | 979-8-3503-4840-8 |
| Publication status | Published - 2023 |
| Event | 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023 - Shanghai, China Duration: 25 Mar 2023 → 29 Mar 2023 |
Abstract
Pedestrian collisions are a serious safety issue when considering hazards to elderly persons and to distracted people due to AR gaming. The inability to anticipate an oncoming danger could put these pedestrians at a safety risk endangering their lives. However if we use an AR device to visualise future motion, then this could firstly help elderly wearing them to forsee any oncoming danger and secondly alert a distracted AR gamer if this information is included in the game. The RGBD sensors of an AR device continuously scans the environment to place virtual content. Our prototype idea focuses on applying motion detection and prediction algorithms to this scan data, and communicating it as information to the users. Then other traffic participants, who might potentially get in conflict with an AR headset user can be predicted in advance and informed. This can not only promote the use of AR headsets as a safety aid especially for elderly and disabled but also increase safety in outdoor spaces when using AR. In this paper we share our first results for our prototype based on the above idea where future pedestrian motions are detected and visualised with Unity on the Hololens 2.
ASJC Scopus subject areas
- Computer Science(all)
- Computer Graphics and Computer-Aided Design
- Computer Science(all)
- Computer Science Applications
- Computer Science(all)
- Human-Computer Interaction
- Engineering(all)
- Media Technology
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 545-546.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Enhancing Safety using AR Headsets with Motion Prediction Visualization
AU - Kamalasanan, Vinu
AU - Ai-Taan, Ahmed
AU - Busch, Steffen
AU - Sester, Monika
N1 - Funding Information: This research is funded by the DAAD under the GSSP Program with the German Research Foundation (DFG) through the Research TrainingGroup SocialCars (GRK 1931).
PY - 2023
Y1 - 2023
N2 - Pedestrian collisions are a serious safety issue when considering hazards to elderly persons and to distracted people due to AR gaming. The inability to anticipate an oncoming danger could put these pedestrians at a safety risk endangering their lives. However if we use an AR device to visualise future motion, then this could firstly help elderly wearing them to forsee any oncoming danger and secondly alert a distracted AR gamer if this information is included in the game. The RGBD sensors of an AR device continuously scans the environment to place virtual content. Our prototype idea focuses on applying motion detection and prediction algorithms to this scan data, and communicating it as information to the users. Then other traffic participants, who might potentially get in conflict with an AR headset user can be predicted in advance and informed. This can not only promote the use of AR headsets as a safety aid especially for elderly and disabled but also increase safety in outdoor spaces when using AR. In this paper we share our first results for our prototype based on the above idea where future pedestrian motions are detected and visualised with Unity on the Hololens 2.
AB - Pedestrian collisions are a serious safety issue when considering hazards to elderly persons and to distracted people due to AR gaming. The inability to anticipate an oncoming danger could put these pedestrians at a safety risk endangering their lives. However if we use an AR device to visualise future motion, then this could firstly help elderly wearing them to forsee any oncoming danger and secondly alert a distracted AR gamer if this information is included in the game. The RGBD sensors of an AR device continuously scans the environment to place virtual content. Our prototype idea focuses on applying motion detection and prediction algorithms to this scan data, and communicating it as information to the users. Then other traffic participants, who might potentially get in conflict with an AR headset user can be predicted in advance and informed. This can not only promote the use of AR headsets as a safety aid especially for elderly and disabled but also increase safety in outdoor spaces when using AR. In this paper we share our first results for our prototype based on the above idea where future pedestrian motions are detected and visualised with Unity on the Hololens 2.
UR - http://www.scopus.com/inward/record.url?scp=85159694486&partnerID=8YFLogxK
U2 - 10.1109/VRW58643.2023.00120
DO - 10.1109/VRW58643.2023.00120
M3 - Conference contribution
AN - SCOPUS:85159694486
SN - 979-8-3503-4840-8
SP - 545
EP - 546
BT - Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023
Y2 - 25 March 2023 through 29 March 2023
ER -