Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Управление Ð·Ð°Ñ Ð²Ð°Ñ‚Ð¾Ð¼ движения на основе инерциально Ð¸Ð·Ð¼ÐµÑ€Ð¸Ñ‚ÐµÐ»ÑŒÐ½Ñ‹Ñ Ð¼Ð¾Ð´ÑƒÐ»ÐµÐ¹

выпускная квалификационная работа бакалавра

Управление Ð·Ð°Ñ Ð²Ð°Ñ‚Ð¾Ð¼ движения на основе инерциально Ð¸Ð·Ð¼ÐµÑ€Ð¸Ñ‚ÐµÐ»ÑŒÐ½Ñ‹Ñ Ð¼Ð¾Ð´ÑƒÐ»ÐµÐ¹

Abstract

Данная работа посвящена захвату движения посредством МЭМС датчиков и последующий передачи считанных данных на виртуальную модель. В работе описываются средства применяемые для захвата движения, а также принципы работы инерциальных МЭМС датчиков. Рассмотрено строение тела человека, проанализирована верхняя конечность и верхняя часть туловища, выявлены места для расположения инерциальных модулей. Изучен метод вычисления углов ориентации объекта в пространстве (углы Эйлера). Исследованы возможные варианты формирования движения в среде Unity. Сформулирован метод считывания данных с ИИМ, а также их фильтрация с помощью комплементарного фильтра. В среде по созданию трёхмерной компьютерной графики 3DS Max было смоделировано тело человека. Готовая виртуальная модель была экспортирована в 3D движок под названием Unity и на определенные элементы модели (плечо, предплечье и верхняя часть туловища) были переданы отфильтрованные данные с ИИМ (в виде углов Эйлера).

This Bachelor project is devoted to motion capture by means of MEMS sensors and subsequent transfer of the read data to the virtual model. This project describes motion capture methods and systems, as well as operating principles of inertial MEMS sensors. The structure of the human body is considered, the upper limb and the upper part of the body are analyzed, places for the location of inertial sensors are identified. The method for calculating the orientation angles of an object in space (Euler angles) has been researched. The possible variants of movement formation in the environment called Unity are defined. A method is formulated for reading data from IMU-sensors and then filtering it with the help of a complimentary filter. A human body model was created in the environment for the creation of three-dimensional computer graphics 3DS Max. The finished virtual model was exported to a 3D engine called Unity and on certain elements of the model (arm, forearm and upper body) filtered data from IMUs has been sent (in Euler angles form).

Keywords

gyroscope, mems, 3ds max, измерительный модуль, forward kinematics, магнитометр, Ð·Ð°Ñ Ð²Ð°Ñ‚ движения, гироскоп, углы эйлера, мэмс, arduino, accelerometer, акселерометр, motion capture, magnetometer, measuring module, прямая кинематика, atmega328p, euler angles, unity

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!