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
Results
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.
Results
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.
Results
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.
Methods
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.
Background
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.
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