Development of a simple mechanical model to evaluate running economy for designing running augmentation suits

Abstract This paper presents a simple mechanical model capable of evaluating a running effectiveness index $$\epsilon _{EI}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>ϵ</mml:mi> <mml:mrow> <mml:mi>EI</mml:mi> </mml:mrow> </mml:msub> </mml:math> based on mechanical energy. We extended a spring-loaded inverted pendulum model, considering the biomechanical determinants of running economy (RE), to develop a simplified mechanical model that can accurately represent the $$\epsilon _{EI}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>ϵ</mml:mi> <mml:mrow> <mml:mi>EI</mml:mi> </mml:mrow> </mml:msub> </mml:math> calculated by a detailed running model. To assess the accuracy of the proposed model in estimating RE, we computed the $$\epsilon _{EI}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>ϵ</mml:mi> <mml:mrow> <mml:mi>EI</mml:mi> </mml:mrow> </mml:msub> </mml:math> using both the proposed and detailed models, based on data obtained from running experiments. A linear regression analysis using the least squares method was performed to analyze the relationship between the $$\epsilon _{EI}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>ϵ</mml:mi> <mml:mrow> <mml:mi>EI</mml:mi> </mml:mrow> </mml:msub> </mml:math> values calculated by the two models. The regression analysis results of the $$\epsilon _{EI}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>ϵ</mml:mi> <mml:mrow> <mml:mi>EI</mml:mi> </mml:mrow> </mml:msub> </mml:math> values obtained from the two models yielded significant F-statistics ( $$p &lt; 0.01$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>p</mml:mi> <mml:mo>&lt;</mml:mo> <mml:mn>0.01</mml:mn> </mml:mrow> </mml:math> ) for all four participants, demonstrating that the proposed model can sufficiently represent the running economy index calculated by the detailed model.

Authors

Institutions

Publication Details

Journal
ROBOMECH Journal
Published
2025-07-18
DOI
https://doi.org/10.1186/s40648-025-00315-4
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a simple mechanical model to evaluate running economy for designing running augmentation suits

Takashi Kusaka, Yumeko Imamura, Akihiko Murai, Takayuki Tanaka et al.
ROBOMECH Journal
Sports Performance and Training
article

Development of a simple mechanical model to evaluate running economy for designing running augmentation suits

Takashi Kusaka, Yumeko Imamura, Akihiko Murai, Takayuki Tanaka, Hiromu Mori
article en

Abstract

Abstract This paper presents a simple mechanical model capable of evaluating a running effectiveness index $$\epsilon _{EI}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>ϵ</mml:mi> <mml:mrow> <mml:mi>EI</mml:mi> </mml:mrow> </mml:msub> </mml:math> based on mechanical energy. We extended a spring-loaded inverted pendulum model, considering the biomechanical determinants of running economy (RE), to develop a simplified mechanical model that can accurately represent the $$\epsilon _{EI}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>ϵ</mml:mi> <mml:mrow> <mml:mi>EI</mml:mi> </mml:mrow> </mml:msub> </mml:math> calculated by a detailed running model. To assess the accuracy of the proposed model in estimating RE, we computed the $$\epsilon _{EI}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>ϵ</mml:mi> <mml:mrow> <mml:mi>EI</mml:mi> </mml:mrow> </mml:msub> </mml:math> using both the proposed and detailed models, based on data obtained from running experiments. A linear regression analysis using the least squares method was performed to analyze the relationship between the $$\epsilon _{EI}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>ϵ</mml:mi> <mml:mrow> <mml:mi>EI</mml:mi> </mml:mrow> </mml:msub> </mml:math> values calculated by the two models. The regression analysis results of the $$\epsilon _{EI}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>ϵ</mml:mi> <mml:mrow> <mml:mi>EI</mml:mi> </mml:mrow> </mml:msub> </mml:math> values obtained from the two models yielded significant F-statistics ( $$p &lt; 0.01$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>p</mml:mi> <mml:mo>&lt;</mml:mo> <mml:mn>0.01</mml:mn> </mml:mrow> </mml:math> ) for all four participants, demonstrating that the proposed model can sufficiently represent the running economy index calculated by the detailed model.

ROBOMECH JournalVol. 12(1)
Hokkaido University (JP), Japan External Trade Organization (JP)
Japan Society for the Promotion of Science
Affordable and clean energy
Openalex Percentile: Top 75%
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.