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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd">
<article article-type="research-article" dtd-version="1.2" xml:lang="ru" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><front><journal-meta><journal-id journal-id-type="issn">2518-1092</journal-id><journal-title-group><journal-title>Research result. Information technologies</journal-title></journal-title-group><issn pub-type="epub">2518-1092</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.18413/2518-1092-2018-3-4-0-7</article-id><article-id pub-id-type="publisher-id">1567</article-id><article-categories><subj-group subj-group-type="heading"><subject>SYSTEM ANALYSIS AND PROCESSING OF KNOWLEDGE</subject></subj-group></article-categories><title-group><article-title>ANALYSIS OF THE TRAJECTORY OF MOTION OF THE LIMBS BASED ON DATA FROM MICROMECHANICAL SENSORS</article-title><trans-title-group xml:lang="en"><trans-title>ANALYSIS OF THE TRAJECTORY OF MOTION OF THE LIMBS BASED ON DATA FROM MICROMECHANICAL SENSORS</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Izhboldina</surname><given-names>Valeriia Valentinovna</given-names></name><name xml:lang="en"><surname>Izhboldina</surname><given-names>Valeriia Valentinovna</given-names></name></name-alternatives><email>izhboldina.valeriia@gmail.com</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Budkov</surname><given-names>Viktor Yur'evich</given-names></name><name xml:lang="en"><surname>Budkov</surname><given-names>Viktor Yur'evich</given-names></name></name-alternatives><email>budkov@iias.spb.su</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Denisov</surname><given-names>Aleksandr Vadimovich</given-names></name><name xml:lang="en"><surname>Denisov</surname><given-names>Aleksandr Vadimovich</given-names></name></name-alternatives><email>sdenisov93@mail.ru</email></contrib></contrib-group><pub-date pub-type="epub"><year>2018</year></pub-date><volume>3</volume><issue>4</issue><fpage>0</fpage><lpage>0</lpage><self-uri content-type="pdf" xlink:href="/media/information/2018/4/it_7.pdf" /><abstract xml:lang="ru"><p>In this paper, a biotechnical device for recording and assessing a person&amp;#39;s physical activity is&amp;nbsp;presented, which is a dumbbell equipped with a microprocessor board and inertial sensors. To&amp;nbsp;restore the trajectory of the projectile, a gyroscope and an accelerometer are used. The trajectory&amp;nbsp;of the motion is based on the coordinates: the angles of rotation and displacement. The movement&amp;nbsp;is calculated by double integration of the accelerometer readings, the angles of rotation of the&amp;nbsp;dumbbell are determined by integrating the angular velocity of rotation of the gyroscope. The&amp;nbsp;data read from the sensors is fed to the microprocessor board, where they are filtered andprocessed. Based on the processed data, the trajectory of the projectile&amp;#39;s motion is constructed.&amp;nbsp;The weight of the dumbbell is 0.50 kg, the total mass of the device is 0.54 kg. The developed&amp;nbsp;biotechnical device is able to detect the elbow joint pathology of the upper human shoulder girdle&amp;nbsp;and to assess the physical parameters of the patient with injuries of the elbow joint.</p></abstract><trans-abstract xml:lang="en"><p>In this paper, a biotechnical device for recording and assessing a person&amp;#39;s physical activity is&amp;nbsp;presented, which is a dumbbell equipped with a microprocessor board and inertial sensors. To&amp;nbsp;restore the trajectory of the projectile, a gyroscope and an accelerometer are used. The trajectory&amp;nbsp;of the motion is based on the coordinates: the angles of rotation and displacement. The movement&amp;nbsp;is calculated by double integration of the accelerometer readings, the angles of rotation of the&amp;nbsp;dumbbell are determined by integrating the angular velocity of rotation of the gyroscope. The&amp;nbsp;data read from the sensors is fed to the microprocessor board, where they are filtered andprocessed. Based on the processed data, the trajectory of the projectile&amp;#39;s motion is constructed.&amp;nbsp;The weight of the dumbbell is 0.50 kg, the total mass of the device is 0.54 kg. The developed&amp;nbsp;biotechnical device is able to detect the elbow joint pathology of the upper human shoulder girdle&amp;nbsp;and to assess the physical parameters of the patient with injuries of the elbow joint.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>smart sports equipment</kwd><kwd>inertial sensors</kwd><kwd>motion analysis</kwd><kwd>Kalman filter</kwd><kwd>rehabilitation</kwd></kwd-group><kwd-group xml:lang="en"><kwd>smart sports equipment</kwd><kwd>inertial sensors</kwd><kwd>motion analysis</kwd><kwd>Kalman filter</kwd><kwd>rehabilitation</kwd></kwd-group></article-meta></front><back /></article>