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<p>Sprinting involves covering a short distance as quickly as possible and includes distinct phases. Kinematics and kinetics are related to maximal sprint running, which is typically divided into the block clearance, initial acceleration, maximum velocity, and deceleration phases. Many studies have explored biomechanical factors across the different phases of sprinting using force platforms, optical motion capture systems with or without force plates, video cameras, inertial measurement unit (IMU) sensors, and in-shoe pressure systems. To our knowledge, no study has combined IMU and in-shoe pressure insole sensors to analyze kinematics and kinetics during both the block clearance and acceleration phases. This study aimed to examine kinematic and kinetic variables during these phases using Xsens MVN and F-scan wearable systems. Additionally, the relationships among lower limb kinematics, velocity, and ground reaction force (GRF) were analyzed for each phase. Ten male junior athletes participated in the study. The Xsens MVN and F-Scan systems were used simultaneously to record full-body joint kinematics and GRFs during sprinting acceleration. Kinematic and GRF data were visually synchronized from the first to the fifth heel contact by identifying the contact and flight times of each step, with a 50 N threshold in GRF to define contact with the track. Pearson correlation coefficients were used to analyze relationships between GRF, center of mass (COM) velocity, and joint kinematics for normally distributed data, while Spearman rank correlation coefficients were used for non-normally distributed data. The analysis revealed that ankle dorsiflexion and variations in knee flexion-extension played mediating roles in the relationship between GRFs and COM velocity. This study provides details on kinematic and kinetic variables and their interactions, which could help improve sprinting performance and coaching strategies.</p>

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Ground reaction forces and kinematics during sprinting using inertial and insole sensors

  • 期刊论文

  • 发表日期：

    2026年8月5日

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  • Batbayar Khuyagbaatar,
  • Munkh-Erdene Bayartai,
  • Boldbaatar Chuluunbaatar,
  • Battsengel Banzragch,
  • Batlkham Dambadarjaa,
  • Munkhbat Tumurbaatar,
  • Ganzorig Battumur,
  • Erdenevaanchig Batbaatar

摘要

Sprinting involves covering a short distance as quickly as possible and includes distinct phases. Kinematics and kinetics are related to maximal sprint running, which is typically divided into the block clearance, initial acceleration, maximum velocity, and deceleration phases. Many studies have explored biomechanical factors across the different phases of sprinting using force platforms, optical motion capture systems with or without force plates, video cameras, inertial measurement unit (IMU) sensors, and in-shoe pressure systems. To our knowledge, no study has combined IMU and in-shoe pressure insole sensors to analyze kinematics and kinetics during both the block clearance and acceleration phases. This study aimed to examine kinematic and kinetic variables during these phases using Xsens MVN and F-scan wearable systems. Additionally, the relationships among lower limb kinematics, velocity, and ground reaction force (GRF) were analyzed for each phase. Ten male junior athletes participated in the study. The Xsens MVN and F-Scan systems were used simultaneously to record full-body joint kinematics and GRFs during sprinting acceleration. Kinematic and GRF data were visually synchronized from the first to the fifth heel contact by identifying the contact and flight times of each step, with a 50 N threshold in GRF to define contact with the track. Pearson correlation coefficients were used to analyze relationships between GRF, center of mass (COM) velocity, and joint kinematics for normally distributed data, while Spearman rank correlation coefficients were used for non-normally distributed data. The analysis revealed that ankle dorsiflexion and variations in knee flexion-extension played mediating roles in the relationship between GRFs and COM velocity. This study provides details on kinematic and kinetic variables and their interactions, which could help improve sprinting performance and coaching strategies.