NDLI: Collection and Classification of Tennis Swings Using a Virtual Racket

Content Provider	IEEE Xplore Digital Library
Author	Sevcenco, A.-M. Kin Fun Li Takano, K.
Copyright Year	2012
Abstract	Computerized learning systems are popular these days due to the advances in artificial intelligence and decision support. Learning sports using a computer is a new field of research but it requires additional effort in the areas of motion sensing and modeling, and data mining. We are designing a tennis e-learning system using the Nintendo Wii remote as a virtual racket for practicing swings. This work introduces the swing motion data collection process. Classification of the swing data is explored using various techniques such as principal component analysis and K-means clustering. It is evident from the graphical data that different types of tennis swings have dissimilar characteristics in the 3-D space. The distinct envelope shape of the swings can be characterized and differentiated using descriptive statistics. Classification results are presented with emphasis on the swing consistency of tennis learners as well as the similarity of the swing motions which are important in the eventual learning process.
Starting Page	47
Ending Page	54
File Size	1248664
Page Count	8
File Format	PDF
ISBN	9781467322799
e-ISBN	9781467322812
DOI	10.1109/iNCoS.2012.116
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-19
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Gesture classification Tennis instruction E-learning Collaboration Gesture recognition Clustering Artificial intelligence Human machine interface Principal component analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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