KFU. Card publication. ZMP trajectory from human body locomotion dynamics evaluated by Kinect-based motion capture system

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ZMP TRAJECTORY FROM HUMAN BODY LOCOMOTION DYNAMICS EVALUATED BY KINECT-BASED MOTION CAPTURE SYSTEM

Form of presentation

Articles in international journals and collections

Year of publication

2016

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Authors, employees of KFU

Magid Evgeniy Arkadevich, author

Bibliographic description in the original language

Bulat Gabbasov, Igor Danilov, Ilya Afanasyev, and Evgeni Magid. ZMP trajectory from human body locomotion dynamics evaluated by Kinect-based motion capture system. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP), 2016, ISBN 978-989-758-175-5, pp. 160-166.

Annotation

Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP)

Keywords

Motion Capture (MoCap), Zero Moment Point (ZMP), Kinect Sensor, Biomechanical Analysis of Human Locomotion, Multi-depth Sensor Video Recording

The name of the journal

Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP)

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=149755&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Magid Evgeniy Arkadevich	ru_RU
dc.date.accessioned	2016-01-01T00:00:00Z	ru_RU
dc.date.available	2016-01-01T00:00:00Z	ru_RU
dc.date.issued	2016	ru_RU
dc.identifier.citation	Bulat Gabbasov, Igor Danilov, Ilya Afanasyev, and Evgeni Magid. ZMP trajectory from human body locomotion dynamics evaluated by Kinect-based motion capture system. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP), 2016, ISBN 978-989-758-175-5, pp. 160-166.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=149755&p_lang=2	ru_RU
dc.description.abstract	Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP)	ru_RU
dc.description.abstract	This article presents the methods of zero moment point (ZMP) trajectory evaluation for human locomotion by processing biomechanical data recorded with Kinect-based motion capture (MoCap) system. Our MoCap system consists of four Kinect 2 sensors, using commercial iPi soft markerless tracking and visualization technology. We apply iPi Mocap Studio software to multi-depth sensor video recordings, acquiring visual and biomechanical human gait data, including linear and angular coordinates, velocities, accelerations and center of mass (CoM) position of each joint. Finally, we compute ZMP and ground projection of the CoM (GCOM) trajectories from human body dynamics in MATLAB by two methods, where human body is treated as (1) a single mass point, and (2) multiple mass points (with following ZMP calculation via inertia tensor). The further objective of our research is to reproduce the human-like gait with Russian biped robot AR-601M.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Motion Capture (MoCap)	ru_RU
dc.subject	Zero Moment Point (ZMP)	ru_RU
dc.subject	Kinect Sensor	ru_RU
dc.subject	Biomechanical Analysis of Human Locomotion	ru_RU
dc.subject	Multi-depth Sensor Video Recording	ru_RU
dc.title	ZMP trajectory from human body locomotion dynamics evaluated by Kinect-based motion capture system	ru_RU
dc.type	Articles in international journals and collections	ru_RU