KFU. Card publication. Movement estimation methods based on the motion capture system

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

MOVEMENT ESTIMATION METHODS BASED ON THE MOTION CAPTURE SYSTEM

Form of presentation

Articles in international journals and collections

Year of publication

2022

Язык

английский

Authors, employees of KFU

Baltin Maksim Eduardovich, author

Baltina Tatyana Valerevna, author

Sachenkov Oskar Aleksandrovich, author

Smirnova Viktoriya Vladimirovna, author

Kharin Nikita Vyacheslavovich, author

Other authors

Yaikova Elena , author

Authors, postgraduates KFU

Smirnova Viktoriya Vladimirovna, postgraduate kfu

Kharin Nikita Vyacheslavovich, postgraduate kfu

Bibliographic description in the original language

Smirnova V. Movement estimation methods based on the motion capture system/ V. Smirnova, E. Yaikova, M. Baltin, N. Kharin, T. Baltina and O. Sachenkov// IEEE Xplore:Proceedings - 4th International Conference Neurotechnologies and Neurointerfaces. - 2022. - Vol. CNN 2022. - pp. 158-161, doi: 10.1109/CNN56452.2022.9912543.

Annotation

The purpose of this work is to develop and describe methods for assessing the movement of the subject. The article presents a mathematical formulation of the definition of kinematic parameters, which makes it possible to speed up the diagnosis of the disease and individualize the treatment. The presented methods are maximally general, and it allows to use them for different experimental schemes. And the presented methods are easy to automate. An example of use is also provided. Calculated parameters such as step length, maximum foot lift, and foot swing give a clear indication about the subject moving. Also, the construction of angulograms is informative, the average values of the change in the angles of the hip and knee in steps and the standard deviation are calculated. Angulograms can be used to determine gait in normal and pathological conditions, as well as before and after treatment. Motion is recorded with six Vicon MX cameras (Vicon Motion Systems, Oxford, UK). The data obtained from the cameras are used to calculate the investigated kinematic parameters.

Keywords

Knee, Pathology, Tracking, Cameras, Motion capture, Standards , Neurotechnology

The name of the journal

Proceedings - 4th International Conference Neurotechnologies and Neurointerfaces

URL

https://ieeexplore.ieee.org/document/9912543/keywords#keywords

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

https://repository.kpfu.ru/eng/?p_id=273163&p_lang=2

Resource files

File name	Size (MB)	Format
F_Movement_estimation_methods_based_on_the_motion_capture_system.pdf	0,45	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Baltin Maksim Eduardovich	ru_RU
dc.contributor.author	Baltina Tatyana Valerevna	ru_RU
dc.contributor.author	Sachenkov Oskar Aleksandrovich	ru_RU
dc.contributor.author	Smirnova Viktoriya Vladimirovna	ru_RU
dc.contributor.author	Kharin Nikita Vyacheslavovich	ru_RU
dc.contributor.author	Yaikova Elena	ru_RU
dc.contributor.author	Smirnova Viktoriya Vladimirovna	ru_RU
dc.contributor.author	Kharin Nikita Vyacheslavovich	ru_RU
dc.date.accessioned	2022-01-01T00:00:00Z	ru_RU
dc.date.available	2022-01-01T00:00:00Z	ru_RU
dc.date.issued	2022	ru_RU
dc.identifier.citation	Smirnova V. Movement estimation methods based on the motion capture system/ V. Smirnova, E. Yaikova, M. Baltin, N. Kharin, T. Baltina and O. Sachenkov// IEEE Xplore:Proceedings - 4th International Conference Neurotechnologies and Neurointerfaces. - 2022. - Vol. CNN 2022. - pp. 158-161, doi: 10.1109/CNN56452.2022.9912543.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=273163&p_lang=2	ru_RU
dc.description.abstract	Proceedings - 4th International Conference Neurotechnologies and Neurointerfaces	ru_RU
dc.description.abstract	The purpose of this work is to develop and describe methods for assessing the movement of the subject. The article presents a mathematical formulation of the definition of kinematic parameters, which makes it possible to speed up the diagnosis of the disease and individualize the treatment. The presented methods are maximally general, and it allows to use them for different experimental schemes. And the presented methods are easy to automate. An example of use is also provided. Calculated parameters such as step length, maximum foot lift, and foot swing give a clear indication about the subject moving. Also, the construction of angulograms is informative, the average values of the change in the angles of the hip and knee in steps and the standard deviation are calculated. Angulograms can be used to determine gait in normal and pathological conditions, as well as before and after treatment. Motion is recorded with six Vicon MX cameras (Vicon Motion Systems, Oxford, UK). The data obtained from the cameras are used to calculate the investigated kinematic parameters.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Knee	ru_RU
dc.subject	Pathology	ru_RU
dc.subject	Tracking	ru_RU
dc.subject	Cameras	ru_RU
dc.subject	Motion capture	ru_RU
dc.subject	Standards	ru_RU
dc.subject	Neurotechnology	ru_RU
dc.title	Movement estimation methods based on the motion capture system	ru_RU
dc.type	Articles in international journals and collections	ru_RU