Yin-Shin Lee1, Chin-Shan Ho2, Yo Shih3, Su-Yu Chang4, Füle János Róbert5, Tzyy-Yuang Shiang6. 1. Department of Physical Education, National Taiwan Normal University, Taipei, Taiwan. Electronic address: sweetlee07@gmail.com. 2. Graduate Institute of Sport Science, National Taiwan Sport University, Taoyuan, Taiwan. Electronic address: kilmur23@ntsu.edu.tw. 3. Department of Athletic Performance, National Taiwan Normal University, Taipei, Taiwan. Electronic address: yvonne.stone@gmail.com. 4. Department of Athletic Performance, National Taiwan Normal University, Taipei, Taiwan. Electronic address: raye.csy@gmail.com. 5. Department of Physical Education, National Taiwan Normal University, Taipei, Taiwan. Electronic address: rfule@mfa.gov.hu. 6. Department of Athletic Performance, National Taiwan Normal University, Taipei, Taiwan. Electronic address: tyshiang@gmail.com.
Abstract
PURPOSE: To observe various modes of lower limb locomotion, an inertial measurement unit (IMU) was used. Digital signals were used to identify signal characteristics that help to distinguish among locomotion modes and intensity levels. METHODS: A wireless IMU was installed on the outside of shoes and three forms of locomotion (walking, running, and jumping) were assessed at two intensity levels (low and high) to observe the acceleration, foot angular velocity variations, and characteristics of the curve variations in the anteroposterior, mediolateral, and superior-inferior directions. RESULTS: Most interactions between intensity and locomotion were statistically significant, except for the acceleration in the anteroposterior direction and on the horizontal plane. In addition, as the intensity increased, the values of all the parameters increased. Thus, both the acceleration values and range of angular velocity variation can be used to distinguish the intensity levels. Moreover, the results indicated that the angular velocity in the frontal axis, which is the sequence of the plantar/dorsiflexion movements, can also be used to identify different locomotion. CONCLUSIONS: Uniaxial acceleration or the range of angular velocity variation could be used to identify locomotion intensities, whereas the characteristics of the uniaxial angular velocity curve could be used to identify the locomotion modes.
PURPOSE: To observe various modes of lower limb locomotion, an inertial measurement unit (IMU) was used. Digital signals were used to identify signal characteristics that help to distinguish among locomotion modes and intensity levels. METHODS: A wireless IMU was installed on the outside of shoes and three forms of locomotion (walking, running, and jumping) were assessed at two intensity levels (low and high) to observe the acceleration, foot angular velocity variations, and characteristics of the curve variations in the anteroposterior, mediolateral, and superior-inferior directions. RESULTS: Most interactions between intensity and locomotion were statistically significant, except for the acceleration in the anteroposterior direction and on the horizontal plane. In addition, as the intensity increased, the values of all the parameters increased. Thus, both the acceleration values and range of angular velocity variation can be used to distinguish the intensity levels. Moreover, the results indicated that the angular velocity in the frontal axis, which is the sequence of the plantar/dorsiflexion movements, can also be used to identify different locomotion. CONCLUSIONS: Uniaxial acceleration or the range of angular velocity variation could be used to identify locomotion intensities, whereas the characteristics of the uniaxial angular velocity curve could be used to identify the locomotion modes.
Authors: Rachel Mason; Liam T Pearson; Gillian Barry; Fraser Young; Oisin Lennon; Alan Godfrey; Samuel Stuart Journal: Sports Med Date: 2022-10-15 Impact factor: 11.928