Finger Click Detection Using a Depth Camera

Hani Karam, Jiro Tanaka

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)5381-5388
Number of pages8
JournalProcedia Manufacturing
Volume3
DOIs
Publication statusPublished - 2015
Externally publishedYes

Fingerprint

User interfaces
Cameras
Gesture recognition
Sensors
Experiments

Keywords

  • Depth camera
  • Finger click detection
  • Human Computer Interface
  • Natural User Interface

ASJC Scopus subject areas

  • Artificial Intelligence
  • Industrial and Manufacturing Engineering

Cite this

Finger Click Detection Using a Depth Camera. / Karam, Hani; Tanaka, Jiro.

In: Procedia Manufacturing, Vol. 3, 2015, p. 5381-5388.

Research output: Contribution to journalArticle

@article{ff75c546fc3242f88c1edbf03a57f735,
title = "Finger Click Detection Using a Depth Camera",
abstract = "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.",
keywords = "Depth camera, Finger click detection, Human Computer Interface, Natural User Interface",
author = "Hani Karam and Jiro Tanaka",
year = "2015",
doi = "10.1016/j.promfg.2015.07.653",
language = "English",
volume = "3",
pages = "5381--5388",
journal = "Procedia Manufacturing",
issn = "2351-9789",
publisher = "Elsevier BV",

}

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

VL - 3

SP - 5381

EP - 5388

JO - Procedia Manufacturing

JF - Procedia Manufacturing

SN - 2351-9789

ER -