Paper Info
Title
Finger Tracking For Gestural Interaction In Mobile Devices
Abstract
In this paper we propose a finger tracking system that is suitable for gesture recognition in mobile devices. The initialisation of the system does not require the use of any I/O devices. The user covers the camera lense with his or her hand and then takes it to the operating distance. The statistical models used for hand segmentation are initialised from the first frames after the hand is removed from the lense. The hand segmentation does not need to be perfect because we do not use the hand contour in the recognition. In our method the fingertips are found using template matching. However, the template matching produces false detections. These false detections are pruned by searching a path from the fingertip to the estimated hand centre and discarding the paths that do not meet a predefined criteria. We evaluate the performance of the method against a fingertip detector proposed by Baldauf et al. [2] by using seven test subjects who initialise the system and then wave their hand in front of the camera. In testing we use one handheld USB camera that matches the image quality of most recent front cameras in mobile phones.
Year
DOI
Venue
2013
10.1007/978-3-642-38886-6_32
IMAGE ANALYSIS, SCIA 2013: 18TH SCANDINAVIAN CONFERENCE
Keywords
Field
DocType
computer vision, finger tracking, gesture recognition
Template matching,Computer vision,Pattern recognition,Segmentation,Computer science,Finger tracking,Gesture recognition,Image quality,Mobile device,Artificial intelligence,Detector,USB
Conference
Volume
ISSN
Citations 
7944
0302-9743
4
PageRank 
References 
Authors
0.51
14
3
Name
Order
Citations
PageRank
Matti Matilainen181.64
Jari Hannuksela212113.36
Lixin Fan313120.15