| Форма представления | Статьи в зарубежных журналах и сборниках |
| Год публикации | 2022 |
| Язык | английский |
|
Балтин Максим Эдуардович, автор
Балтина Татьяна Валерьевна, автор
Саченков Оскар Александрович, автор
Смирнова Виктория Владимировна, автор
Харин Никита Вячеславович, автор
|
|
Яикова Елена , автор
|
|
Смирнова Виктория Владимировна, автор
Харин Никита Вячеславович, автор
|
| Библиографическое описание на языке оригинала |
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. |
| Аннотация |
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. |
| Ключевые слова |
Knee, Pathology, Tracking, Cameras, Motion capture,
Standards
,
Neurotechnology |
| Название журнала |
Proceedings - 4th International Conference Neurotechnologies and Neurointerfaces
|
| URL |
https://ieeexplore.ieee.org/document/9912543/keywords#keywords |
| Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=273163 |
| Файлы ресурса | |
|
|
Полная запись метаданных  |
| Поле DC |
Значение |
Язык |
| dc.contributor.author |
Балтин Максим Эдуардович |
ru_RU |
| dc.contributor.author |
Балтина Татьяна Валерьевна |
ru_RU |
| dc.contributor.author |
Саченков Оскар Александрович |
ru_RU |
| dc.contributor.author |
Смирнова Виктория Владимировна |
ru_RU |
| dc.contributor.author |
Харин Никита Вячеславович |
ru_RU |
| dc.contributor.author |
Яикова Елена |
ru_RU |
| dc.contributor.author |
Смирнова Виктория Владимировна |
ru_RU |
| dc.contributor.author |
Харин Никита Вячеславович |
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/?p_id=273163 |
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 |
Статьи в зарубежных журналах и сборниках |
ru_RU |
|
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