Recognition of Yoga Poses Through an Interactive System with Kinect Device

Edwin W. Trejo; Peijiang Yuan

doi:10.1109/ICRAS.2018.8443267

Recognition of Yoga Poses Through an Interactive System with Kinect Device

Edwin W. Trejo
, Peijiang Yuan

School of Mechanical Engineering and Automation

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

76 Scopus citations

Abstract

In daily life, Yoga has become a well-known discipline around the world that keep people in good physical and mental health. As well, gesture recognition is a field of investigation that takes great importance for the self-Training of various sports using acquisition techniques such as Kinect device. This research proposes an interactive system capable of recognizing 6 poses for learning Yoga that can track up to 6 people at the same time. It is also integrated with command voices to visualize the instructions and pictures about the poses to be performance for the user. In order to get a strong database for recognition, the system used Adaboost algorithm though the software development kit specially for Kinect. All data was trained by an expert yoga trainer and final database showed above 94.78% as maximum value for poses analyzed in terms of accuracy.

Original language	English
Title of host publication	2018 2nd International Conference on Robotics and Automation Sciences, ICRAS 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	12-17
Number of pages	6
ISBN (Print)	9781538673706
DOIs	https://doi.org/10.1109/ICRAS.2018.8443267
State	Published - 20 Aug 2018
Event	2nd International Conference on Robotics and Automation Sciences, ICRAS 2018 - Wuhan, China Duration: 23 Jun 2018 → 25 Jun 2018

Publication series

Name	2018 2nd International Conference on Robotics and Automation Sciences, ICRAS 2018

Conference

Conference	2nd International Conference on Robotics and Automation Sciences, ICRAS 2018
Country/Territory	China
City	Wuhan
Period	23/06/18 → 25/06/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Kinect
Yoga
gesture recognition
human computer interaction
supervised learning

Access to Document

10.1109/ICRAS.2018.8443267

Cite this

Trejo, E. W., & Yuan, P. (2018). Recognition of Yoga Poses Through an Interactive System with Kinect Device. In 2018 2nd International Conference on Robotics and Automation Sciences, ICRAS 2018 (pp. 12-17). Article 8443267 (2018 2nd International Conference on Robotics and Automation Sciences, ICRAS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRAS.2018.8443267

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abstract = "In daily life, Yoga has become a well-known discipline around the world that keep people in good physical and mental health. As well, gesture recognition is a field of investigation that takes great importance for the self-Training of various sports using acquisition techniques such as Kinect device. This research proposes an interactive system capable of recognizing 6 poses for learning Yoga that can track up to 6 people at the same time. It is also integrated with command voices to visualize the instructions and pictures about the poses to be performance for the user. In order to get a strong database for recognition, the system used Adaboost algorithm though the software development kit specially for Kinect. All data was trained by an expert yoga trainer and final database showed above 94.78\% as maximum value for poses analyzed in terms of accuracy.",

keywords = "Kinect, Yoga, gesture recognition, human computer interaction, supervised learning",

author = "Trejo, \{Edwin W.\} and Peijiang Yuan",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2nd International Conference on Robotics and Automation Sciences, ICRAS 2018 ; Conference date: 23-06-2018 Through 25-06-2018",

year = "2018",

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doi = "10.1109/ICRAS.2018.8443267",

language = "英语",

isbn = "9781538673706",

series = "2018 2nd International Conference on Robotics and Automation Sciences, ICRAS 2018",

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Trejo, EW & Yuan, P 2018, Recognition of Yoga Poses Through an Interactive System with Kinect Device. in 2018 2nd International Conference on Robotics and Automation Sciences, ICRAS 2018., 8443267, 2018 2nd International Conference on Robotics and Automation Sciences, ICRAS 2018, Institute of Electrical and Electronics Engineers Inc., pp. 12-17, 2nd International Conference on Robotics and Automation Sciences, ICRAS 2018, Wuhan, China, 23/06/18. https://doi.org/10.1109/ICRAS.2018.8443267

Recognition of Yoga Poses Through an Interactive System with Kinect Device. / Trejo, Edwin W.; Yuan, Peijiang.
2018 2nd International Conference on Robotics and Automation Sciences, ICRAS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 12-17 8443267 (2018 2nd International Conference on Robotics and Automation Sciences, ICRAS 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Trejo, Edwin W.

AU - Yuan, Peijiang

PY - 2018/8/20

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N2 - In daily life, Yoga has become a well-known discipline around the world that keep people in good physical and mental health. As well, gesture recognition is a field of investigation that takes great importance for the self-Training of various sports using acquisition techniques such as Kinect device. This research proposes an interactive system capable of recognizing 6 poses for learning Yoga that can track up to 6 people at the same time. It is also integrated with command voices to visualize the instructions and pictures about the poses to be performance for the user. In order to get a strong database for recognition, the system used Adaboost algorithm though the software development kit specially for Kinect. All data was trained by an expert yoga trainer and final database showed above 94.78% as maximum value for poses analyzed in terms of accuracy.

AB - In daily life, Yoga has become a well-known discipline around the world that keep people in good physical and mental health. As well, gesture recognition is a field of investigation that takes great importance for the self-Training of various sports using acquisition techniques such as Kinect device. This research proposes an interactive system capable of recognizing 6 poses for learning Yoga that can track up to 6 people at the same time. It is also integrated with command voices to visualize the instructions and pictures about the poses to be performance for the user. In order to get a strong database for recognition, the system used Adaboost algorithm though the software development kit specially for Kinect. All data was trained by an expert yoga trainer and final database showed above 94.78% as maximum value for poses analyzed in terms of accuracy.

KW - Kinect

KW - Yoga

KW - gesture recognition

KW - human computer interaction

KW - supervised learning

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M3 - 会议稿件

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BT - 2018 2nd International Conference on Robotics and Automation Sciences, ICRAS 2018

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Trejo EW, Yuan P. Recognition of Yoga Poses Through an Interactive System with Kinect Device. In 2018 2nd International Conference on Robotics and Automation Sciences, ICRAS 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 12-17. 8443267. (2018 2nd International Conference on Robotics and Automation Sciences, ICRAS 2018). doi: 10.1109/ICRAS.2018.8443267

Recognition of Yoga Poses Through an Interactive System with Kinect Device

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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