Форма представления | Статьи в зарубежных журналах и сборниках |
Год публикации | 2016 |
Язык | английский |
|
Магид Евгений Аркадьевич, автор
|
Библиографическое описание на языке оригинала |
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. |
Аннотация |
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP) |
Ключевые слова |
Motion Capture (MoCap), Zero Moment Point (ZMP), Kinect Sensor, Biomechanical Analysis of Human Locomotion, Multi-depth Sensor Video Recording |
Название журнала |
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP)
|
Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=149755 |
Полная запись метаданных |
Поле DC |
Значение |
Язык |
dc.contributor.author |
Магид Евгений Аркадьевич |
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/?p_id=149755 |
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 |
Статьи в зарубежных журналах и сборниках |
ru_RU |
|