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Dive into the research topics where Sebastian Głowiński is active.

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Featured researches published by Sebastian Głowiński.


Advances in intelligent systems and computing | 2017

Inertial Sensors and Wavelets Analysis as a Tool for Pathological Gait Identification

Sebastian Głowiński; Andrzej Blazejewski; Tomasz Krzyzynski

The human gait analysis by using wavelets transform of signal obtained from six inertial ProMove mini sensors is proposed in this work. The angular velocity data measured by the gyro sensors were used to estimate the translational acceleration in the gait analysis. As a result, the flexion - extension of joint angles of the knees were calculated for healthy people and with impaired locomotion system. After measurements we propose to use one of wavelet transform (wavelet type) in order to analyze the signals, indicate a characteristic feature and compare them.


Archive | 2017

Human Gait Feature Detection Using Inertial Sensors Wavelets

Sebastian Głowiński; Andrzej Blazejewski; Tomasz Krzyzynski

The human gait analysis by using wavelets transform of signal obtained from six inertial ProMove mini sensors is proposed in this work. The angular velocity data measured by the gyro sensors is used to estimate the translational acceleration in the gait analysis. As a result, the flexion–extension, the adduction–abduction joint angles of the hips, flexion–extension of the knees and dorsi and plantar flexion of the ankle are calculated. After measurements we propose to use one of wavelet transform (wavelet type) in order to analyze the signals, indicate a characteristic feature and compare them.


Advances in intelligent systems and computing | 2017

Body part accelerations evaluation for chosen techniques in martial arts

Sebastian Głowiński; Andrzej Blazejewski; Tomasz Krzyzynski

The authors have applied microelectromechanical systems (MEMS) for the motion analysis in sports activities by attaching them onto the judoist body segments. The inertia sensor has been attached onto the most often injured body region as head, torso and legs. MEMS can measure acceleration and provide real-time feedback to judoists so they can perfect their form. Therefore, authors proposed the judoist’s skill evaluation and techniques harmfulness, extracting the body segment accelerations. The purpose of this study was to assess the acceleration profile of judoka during ukemi. Ukemi in a literary is the technique that must incorporate the least chance for injury during falling. When judoist falls to the mat, the more area of impact it has, the less damage it receives.


Mechatronics | 2014

Active control of a seat suspension with the system adaptation to varying load mass

Igor Maciejewski; Sebastian Głowiński; Tomasz Krzyzynski


Archive of Applied Mechanics | 2015

Design of motion trajectory of an arm exoskeleton

Sebastian Głowiński; Tomasz Krzyzynski; Sebastian Pecolt; Igor Maciejewski


Journal of Theoretical and Applied Mechanics | 2016

An inverse kinematic algorithm for the human leg

Sebastian Głowiński; Tomasz Krzyzynski


Journal of Theoretical and Applied Mechanics | 2013

Modelling of the ejection process in a symmetrical flight

Sebastian Głowiński; Tomasz Krzyzynski


Autobusy. Technika, Eksploatacja, Systemy Transportowe | 2017

Stanowisko do określania właściwości lepko-sprężystych i dynamicznych charakterystyk elementów zawieszenia pojazdu

Andrzej Blazejewski; Sebastian Głowiński


Autobusy : technika, eksploatacja, systemy transportowe | 2013

Modelowanie siłownika elektromagnetycznego

Sebastian Pecolt; Sebastian Głowiński


TTS Technika Transportu Szynowego | 2012

Egzoszkielety - notacja Denavita-Hartenberga

Sebastian Głowiński; Sebastian Pecolt

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Tomasz Krzyzynski

Koszalin University of Technology

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Andrzej Blazejewski

Koszalin University of Technology

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Sebastian Pecolt

Koszalin University of Technology

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Igor Maciejewski

Koszalin University of Technology

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