NDLI: Effectiveness Comparison of Kinect and Kinect 2 for Recognition of Oyama Karate Techniques

Content Provider	IEEE Xplore Digital Library
Author	Hachaj, T. Ogiela, M.R. Koptyra, K.
Copyright Year	2015
Description	Author affiliation: Cryptography & Cognitive Inf. Res. Group, AGH Univ. of Sci. & Technol., Krakow, Poland (Ogiela, M.R.; Koptyra, K.) \|\| Inst. of Comput. Sci. & Comput. Methods, Pedagogical Univ. of Krakow, Krakow, Poland (Hachaj, T.)
Abstract	The aim of this research is to evaluate effectiveness of Kinect and Kinect 2 for recognition of specialized actions namely Oyama karate techniques. As a classification algorithm we have used Gesture Description Language (GDL) classifier. We have recorded a dataset that contains motion (MoCap) recordings of two professional sport (black belt) instructors and masters of Oyama Karate. The whole dataset contained 200 movement samples per person (400 samples per Kinect camera, so totally we had 800 samples). After data was captured it was split into two subsets: training and validation. Each subset contained only recordings of a single user. We have performed 2-fold cross validation switching the role of user data between training and validation set. In all cases but two MoCap data from Kinect 2 appeared to be more reliable than from Kinect 1 taking into account both recognition rates of GDL classifier and error classification cases. Also in case of Kinect 1 standard deviation of results were higher which means that classifier becomes less stable while trained on data from older device. The ability of more accurate calculation of legs joints positions seems to be biggest advantages of Kinect 2 over its predecessor.
Sponsorship	Tamkang University
Starting Page	332
Ending Page	337
File Size	251665
Page Count	6
File Format	PDF
e-ISBN	9781479999422
DOI	10.1109/NBiS.2015.51
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-02
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Kinect Oyama karate Classification Cameras Belts Skeleton Electronic mail Classification algorithms Gesture Description Language Actions recognition Standards
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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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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