Real time recognition of 3D gestures in mobile devices

Author

Sethu Janaki, V.M. ; Babu, Sarath ; Sreekanth, S.S.

Author_Institution

Int. Centre For FOSS Technopark, Trivandrum, India

fYear

2013

fDate

19-21 Dec. 2013

Firstpage

149

Lastpage

152

Abstract

Gesture-based user interaction is increasingly relevant today as the use of personal computing devices becomes widespread. Smartphones have several inbuilt sensors like accelerometer, orientation sensor and gyroscope, which are able to provide data on motion of the device in 3D space. This paper proposes a mechanism for real-time recognition of 3D gestures using sensors in mobile devices. 3D gestures are space-drawn gestures computed from 3-axial accelerometer readings. The algorithms discussed in this paper include single value decomposition, dynamic time warping and Mahalanobis distance.

Keywords

accelerometers; gesture recognition; human computer interaction; singular value decomposition; smart phones; statistical analysis; 3-axial accelerometer readings; 3D gestures; 3D space; Mahalanobis distance; dynamic time warping; gesture-based user interaction; gyroscope; inbuilt sensors; mobile devices; orientation sensor; personal computing devices; real time recognition; single value decomposition; smartphones; space-drawn gestures; Accelerometers; Gesture recognition; Heuristic algorithms; Sensors; Singular value decomposition; Three-dimensional displays; Vectors; 3D Gesture; Dynamic Time warping; Mahalanobis distance; Singular value decomposition;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computational Systems (RAICS), 2013 IEEE Recent Advances in

Conference_Location

Trivandrum

Print_ISBN

978-1-4799-2177-5

Type

conf

DOI

10.1109/RAICS.2013.6745463

Filename

6745463