Interaction of target distance and movement type on lower limb kinematics in fencing

Introduction Since the distance between opponents constantly changes during fencing bouts, clarifying the relationship between movement type and target distance is important for understanding tactical movement selection. Methods Twelve skilled male foil fencers performed lunges under six conditions combining three target distances (Short, Normal, Long) and two movement types (lunge without advance: LWOA; lunge with advance: LWA). Three-dimensional motion capture (500 Hz) was used to measure hip, knee, and ankle joint angles of the front and rear legs and center of mass (CoM) velocity. For each condition, the trial with the maximum horizontal peak CoM velocity was selected for analysis using a two-factor repeated-measures ANOVA. Results Peak CoM velocity increased linearly with target distance and was consistently higher in LWA than in LWOA. The velocity difference between movement types was greatest at the Short distance and decreased at the Long distance. Correspondingly, rear-leg joint kinematics increased with target distance and were consistently larger in LWA than in LWOA, with significant interaction effects. Discussion These findings suggest that the effectiveness of attack movements in fencing depends on the interaction between target distance and movement type. Fencers should select LWOA or LWA according to tactical distance while emphasizing rear-leg flexion and extension movements during training.

Authors

Institutions

Publication Details

Journal
Frontiers in Sports and Active Living
Published
2026-03-23
DOI
https://doi.org/10.3389/fspor.2026.1756804
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Interaction of target distance and movement type on lower limb kinematics in fencing

Takayuki Inami, Naohiko Kohtake, Kenta Chida, Yasumasa Yoshida et al.
Frontiers in Sports and Active Living
Sports Performance and Training
article

Interaction of target distance and movement type on lower limb kinematics in fencing

Takayuki Inami, Naohiko Kohtake, Kenta Chida, Yasumasa Yoshida, Shota Yamaguchi
article en

Abstract

Introduction Since the distance between opponents constantly changes during fencing bouts, clarifying the relationship between movement type and target distance is important for understanding tactical movement selection. Methods Twelve skilled male foil fencers performed lunges under six conditions combining three target distances (Short, Normal, Long) and two movement types (lunge without advance: LWOA; lunge with advance: LWA). Three-dimensional motion capture (500 Hz) was used to measure hip, knee, and ankle joint angles of the front and rear legs and center of mass (CoM) velocity. For each condition, the trial with the maximum horizontal peak CoM velocity was selected for analysis using a two-factor repeated-measures ANOVA. Results Peak CoM velocity increased linearly with target distance and was consistently higher in LWA than in LWOA. The velocity difference between movement types was greatest at the Short distance and decreased at the Long distance. Correspondingly, rear-leg joint kinematics increased with target distance and were consistently larger in LWA than in LWOA, with significant interaction effects. Discussion These findings suggest that the effectiveness of attack movements in fencing depends on the interaction between target distance and movement type. Fencers should select LWOA or LWA according to tactical distance while emphasizing rear-leg flexion and extension movements during training.

Frontiers in Sports and Active LivingVol. 8
Keio University (JP)
Openalex Percentile: Top 12%
Sports Performance and Training
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.