pyGesture - A Python library for Gesture Classification using Dynamic Time Warping and Regression-based approaches
Date
2013
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Producer
Director
Performer
Choreographer
Costume Designer
Music
Videographer
Lighting Designer
Set Designer
Crew Member
Funder
Rehearsal Director
Concert Coordinator
Advisor
Moderator
Panelist
Alternative Title
Department
Swarthmore College. Dept. of Engineering
Type
Thesis (B.A.)
Original Format
Running Time
File Format
Place of Publication
Date Span
Copyright Date
Award
Language
en_US
Note
Table of Contents
Terms of Use
Full copyright to this work is retained by the student author. It may only be used for non-commercial, research, and educational purposes. All other uses are restricted.
Rights Holder
Access Restrictions
Terms of Use
Tripod URL
Identifier
Abstract
The ability to interact with computers through methods other than keyboard and mouse has begun to shape the modern computing experience. Gesture Recognition shows significant promise as it offers an intuitive and personal means to interact with a computer. However, contemporary gesture recognition is still in its infancy and is difficult to offer in applications without proprietary libraries such as the Microsoft Kinect's SDK. To encourage broader adoption of gesture recognition the author details the implementation of pyGesture, an open-source/free software library for the python programming language. The library provides a simple base class which can be extended to easily allow gesture input. The library implements two different means of gesture recognition - by regression based and dynamic time warping algorithms.