Abstract
We present a new interaction technique enabling user to manipulate digital camera when taking self-portrait pictures. User can control camera's functions such as pan, tilt, and shutter using hand gesture. The preview of camera and GUIs are shown on a large display. We developed two interaction techniques. First one is a hover button that triggers camera's shutter. Second one is cross motion interface that controls pan and tilt. In this paper, we explain algorithms in detailed manner and show the preliminary experiment for evaluating speed and accuracy of our implementation. Finally, we discuss promising applications using proposed technique.
| Original language | English |
|---|---|
| Title of host publication | Human-Computer Interaction: Interaction Techniques and Environments - 14th International Conference, HCI International 2011, Proceedings |
| Pages | 238-247 |
| Number of pages | 10 |
| Volume | 6762 LNCS |
| Edition | PART 2 |
| DOIs | |
| Publication status | Published - 2011 |
| Externally published | Yes |
| Event | 14th International Conference on Human-Computer Interaction, HCI International 2011 - Orlando, FL Duration: 2011 Jul 9 → 2011 Jul 14 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Number | PART 2 |
| Volume | 6762 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 14th International Conference on Human-Computer Interaction, HCI International 2011 |
|---|---|
| City | Orlando, FL |
| Period | 11/7/9 → 11/7/14 |
Fingerprint
Keywords
- fingertip detection
- hand detection
- Hand gesture
- human computer interaction
- optical-flow
- self-portrait
- skin color
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
Hand gesture for taking self portrait. / Chu, Shaowei; Tanaka, Jiro.
Human-Computer Interaction: Interaction Techniques and Environments - 14th International Conference, HCI International 2011, Proceedings. Vol. 6762 LNCS PART 2. ed. 2011. p. 238-247 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6762 LNCS, No. PART 2).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Hand gesture for taking self portrait
AU - Chu, Shaowei
AU - Tanaka, Jiro
PY - 2011
Y1 - 2011
N2 - We present a new interaction technique enabling user to manipulate digital camera when taking self-portrait pictures. User can control camera's functions such as pan, tilt, and shutter using hand gesture. The preview of camera and GUIs are shown on a large display. We developed two interaction techniques. First one is a hover button that triggers camera's shutter. Second one is cross motion interface that controls pan and tilt. In this paper, we explain algorithms in detailed manner and show the preliminary experiment for evaluating speed and accuracy of our implementation. Finally, we discuss promising applications using proposed technique.
AB - We present a new interaction technique enabling user to manipulate digital camera when taking self-portrait pictures. User can control camera's functions such as pan, tilt, and shutter using hand gesture. The preview of camera and GUIs are shown on a large display. We developed two interaction techniques. First one is a hover button that triggers camera's shutter. Second one is cross motion interface that controls pan and tilt. In this paper, we explain algorithms in detailed manner and show the preliminary experiment for evaluating speed and accuracy of our implementation. Finally, we discuss promising applications using proposed technique.
KW - fingertip detection
KW - hand detection
KW - Hand gesture
KW - human computer interaction
KW - optical-flow
KW - self-portrait
KW - skin color
UR - http://www.scopus.com/inward/record.url?scp=79960336863&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79960336863&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-21605-3_27
DO - 10.1007/978-3-642-21605-3_27
M3 - Conference contribution
AN - SCOPUS:79960336863
SN - 9783642216046
VL - 6762 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 238
EP - 247
BT - Human-Computer Interaction: Interaction Techniques and Environments - 14th International Conference, HCI International 2011, Proceedings
ER -