Analyzing force distribution in sports-equipment modifications: a paralympic cross-country sit-ski study

Abstract This study aims to understand how different seating configurations affect elite sit-ski athletes. The study applies a multi-sensor system to analyze knee, upper body, and gluteal loads in four set seating positions. This system provides a basis for monitoring muscle activation, symmetry, and technique. Findings reveal up to 31% (99 N) variations in knee force distributions between seating positions. There was up to 66% variation in applied right-to-left force distribution (43N RMSE to 71N RMSE), with min/max loads varying from 124 to 166N and 92 to 157N when going flat to uphill. Combined belt and seat force data show that abdominal activation levels impact performance. The most extreme variation in the seat ranges from –23N during flat to 427N uphill, leading to a 207% increase of RMSE (96–294N). For the same athlete and position, the load of the belt varied by 33% in RMSE (188N–250N) and with a min/max load varying from 91-328N to 75–439N when going from flat to uphill. The study shows the potential of customizing equipment and enhancing training by capturing real-time data and long-term monitoring progress through waveform analysis and comparison, using the technology to enable individualized adjustments for every disability. Overall, the study highlights the importance of personalized equipment and the use of a system of sensors to generate a holistic view to understand trade-offs and optimize equipment interaction. Future research should involve an extended training period with more athletes to assess the adaptation to load balance, reinforcing the need for personalized equipment in paralympic sit-skiing.

Authors

Institutions

Publication Details

Journal
Sports Engineering
Published
2025-08-28
DOI
https://doi.org/10.1007/s12283-025-00517-4
Primary Topic
Winter Sports Injuries and Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analyzing force distribution in sports-equipment modifications: a paralympic cross-country sit-ski study

Ben Hicks, Martin Steinert, Viljar Aasan, Martin F. Berg et al.
1 links
Sports Engineering
Winter Sports Injuries and Performance
article

Analyzing force distribution in sports-equipment modifications: a paralympic cross-country sit-ski study

Ben Hicks, Martin Steinert, Viljar Aasan, Martin F. Berg, Sindre W. Eikevåg, Henrik Døsvik, Kirsti Ø. Skjølsvik, Thea Solberg Pedersen
article en

Abstract

Abstract This study aims to understand how different seating configurations affect elite sit-ski athletes. The study applies a multi-sensor system to analyze knee, upper body, and gluteal loads in four set seating positions. This system provides a basis for monitoring muscle activation, symmetry, and technique. Findings reveal up to 31% (99 N) variations in knee force distributions between seating positions. There was up to 66% variation in applied right-to-left force distribution (43N RMSE to 71N RMSE), with min/max loads varying from 124 to 166N and 92 to 157N when going flat to uphill. Combined belt and seat force data show that abdominal activation levels impact performance. The most extreme variation in the seat ranges from –23N during flat to 427N uphill, leading to a 207% increase of RMSE (96–294N). For the same athlete and position, the load of the belt varied by 33% in RMSE (188N–250N) and with a min/max load varying from 91-328N to 75–439N when going from flat to uphill. The study shows the potential of customizing equipment and enhancing training by capturing real-time data and long-term monitoring progress through waveform analysis and comparison, using the technology to enable individualized adjustments for every disability. Overall, the study highlights the importance of personalized equipment and the use of a system of sensors to generate a holistic view to understand trade-offs and optimize equipment interaction. Future research should involve an extended training period with more athletes to assess the adaptation to load balance, reinforcing the need for personalized equipment in paralympic sit-skiing.

Sports EngineeringVol. 28(2)
Norwegian University of Science and Technology (NO), University of Bristol (GB)
Openalex Percentile: Top 67%
Winter Sports Injuries and Performance
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.