Exercise & Training

Bot fit: A novel approach to assessing lower limb muscular strength.

TL;DR

Bot Fit, an innovative hip-joint exoskeleton, provides a reliable, data-driven method for muscular strength assessment with hierarchical cluster analysis achieving an accuracy of 0.89 and a regression model correlation coefficient of 0.86.

Key Findings

Bot Fit, a hip-joint exoskeleton, demonstrated strong associations between lower limb strength and key exercises including squats, knee-ups, and reverse lunges.

  • Associations were particularly strong in short-duration and constant-speed conditions.
  • The device recorded motor signals and performance metrics capturing repetitions and movement patterns.
  • Correlation analysis was used to analyze relationships between muscle parameters and exercise performance.
  • 25 participants underwent baseline strength assessments using conventional fitness equipment before performing resistance exercises under controlled conditions.

Hierarchical cluster analysis (HCA) successfully clustered participants based on three exercise-related metrics with an accuracy of 0.89.

  • A total of 25 participants were included in the analysis.
  • Clustering was based on three exercise-related metrics derived from Bot Fit data.
  • HCA accuracy was reported as 0.89.
  • Both correlation analysis and regression analysis were employed alongside HCA to analyze exercise performance data.

The regression model achieved a correlation coefficient of 0.86, indicating high statistical power for predicting muscular strength from Bot Fit metrics.

  • The regression model correlation coefficient was 0.86.
  • The authors described this as 'indicating high statistical power.'
  • Regression analysis was one of three analytical approaches used, alongside correlation analysis and HCA.
  • The model was built on data from 25 participants performing exercises under two controlled conditions.

Participants performed resistance exercises under two controlled conditions: a 10-second test without speed restrictions and a 30-second test at a constant speed.

  • The 10-second test had no speed restrictions.
  • The 30-second test was conducted at a constant speed.
  • Key performance indicators recorded included repetitions and movement patterns.
  • Baseline strength assessments were conducted using conventional fitness equipment prior to Bot Fit testing.

Bot Fit is described as an innovative hip-joint exoskeleton designed for objective assessment of lower limb muscular strength and exercise performance.

  • The device is classified as wearable robotic technology.
  • It records motor signals and performance metrics during exercise.
  • The authors suggest it enables personalized exercise interventions and supports evidence-based decision-making in sports science, rehabilitation, and performance enhancement.
  • The system is proposed for applications including optimizing exercise programs, preventing injuries, and enhancing physical performance.

Have a question about this study?

Citation

Kang B, Kim D, Lee C, Kim D, Lee H, Lee D, et al.. (2026). Bot fit: A novel approach to assessing lower limb muscular strength.. PloS one. https://doi.org/10.1371/journal.pone.0339187