抄録
Selection mechanisms are an essential tool for designating elements in a User Interface. The advances in Natural User Interfaces promoted the selection mechanisms from devices such as the mouse, to more natural methods such as hand gestures. Recently, depth sensors became widely available, and paved the way for new methods of hand gestures recognition. In this paper, we present Depth Click, a new approach of finger click detection using a depth camera. Our proposed method provides natural interactions in terms of selection mechanisms, and goes beyond that in allowing the clicks to be used for actions other than selection. Our technique proved to be fast, reliable and flexible. This paper explains the algorithm we used to detect the finger clicks in detail. We explain about some preliminary experiments for evaluating the accuracy of our approach, as well as its detection rate. Finally, we discuss the results of the evaluation.
| 元の言語 | English |
|---|---|
| ページ（範囲） | 5381-5388 |
| ページ数 | 8 |
| ジャーナル | Procedia Manufacturing |
| 巻 | 3 |
| DOI | |
| 出版物ステータス | Published - 2015 |
| 外部発表 | Yes |
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ASJC Scopus subject areas
- Artificial Intelligence
- Industrial and Manufacturing Engineering
これを引用
Finger Click Detection Using a Depth Camera. / Karam, Hani; Tanaka, Jiro.
：: Procedia Manufacturing, 巻 3, 2015, p. 5381-5388.研究成果: Article
}
TY - JOUR
T1 - Finger Click Detection Using a Depth Camera
AU - Karam, Hani
AU - Tanaka, Jiro
PY - 2015
Y1 - 2015
N2 - Selection mechanisms are an essential tool for designating elements in a User Interface. The advances in Natural User Interfaces promoted the selection mechanisms from devices such as the mouse, to more natural methods such as hand gestures. Recently, depth sensors became widely available, and paved the way for new methods of hand gestures recognition. In this paper, we present Depth Click, a new approach of finger click detection using a depth camera. Our proposed method provides natural interactions in terms of selection mechanisms, and goes beyond that in allowing the clicks to be used for actions other than selection. Our technique proved to be fast, reliable and flexible. This paper explains the algorithm we used to detect the finger clicks in detail. We explain about some preliminary experiments for evaluating the accuracy of our approach, as well as its detection rate. Finally, we discuss the results of the evaluation.
AB - Selection mechanisms are an essential tool for designating elements in a User Interface. The advances in Natural User Interfaces promoted the selection mechanisms from devices such as the mouse, to more natural methods such as hand gestures. Recently, depth sensors became widely available, and paved the way for new methods of hand gestures recognition. In this paper, we present Depth Click, a new approach of finger click detection using a depth camera. Our proposed method provides natural interactions in terms of selection mechanisms, and goes beyond that in allowing the clicks to be used for actions other than selection. Our technique proved to be fast, reliable and flexible. This paper explains the algorithm we used to detect the finger clicks in detail. We explain about some preliminary experiments for evaluating the accuracy of our approach, as well as its detection rate. Finally, we discuss the results of the evaluation.
KW - Depth camera
KW - Finger click detection
KW - Human Computer Interface
KW - Natural User Interface
UR - http://www.scopus.com/inward/record.url?scp=85009951576&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85009951576&partnerID=8YFLogxK
U2 - 10.1016/j.promfg.2015.07.653
DO - 10.1016/j.promfg.2015.07.653
M3 - Article
AN - SCOPUS:85009951576
VL - 3
SP - 5381
EP - 5388
JO - Procedia Manufacturing
JF - Procedia Manufacturing
SN - 2351-9789
ER -