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

**Authors:** Byungmun Kang, DaeEun Kim, Changmin Lee, Dongwoo Kim, Hwang-Jae Lee, Dokwan Lee, YoonMyung Kim, Hyung-Gyu Jeon, Kyunghwan Jung, Hasan Sozen, Hasan Sozen, Hasan Sozen

PMC · DOI: 10.1371/journal.pone.0339187 · PLOS One · 2026-03-26

## TL;DR

Bot Fit is a new hip-joint exoskeleton that objectively assesses lower limb strength and exercise performance using data-driven methods.

## Contribution

The novel Bot Fit exoskeleton enables reliable, data-driven assessment of lower limb muscular strength and exercise performance.

## Key findings

- Bot Fit successfully captured key exercise metrics like repetitions and movement patterns.
- Hierarchical cluster analysis grouped participants with 0.89 accuracy based on exercise performance.
- Regression analysis showed a strong correlation (0.86) between muscle parameters and exercise performance.

## Abstract

This study introduces Bot Fit, an innovative hip-joint exoskeleton designed for the objective assessment of lower limb muscular strength and exercise performance. A total of 25 participants underwent baseline strength assessments using conventional fitness equipment before performing resistance exercises under two controlled conditions: a 10-second test without speed restrictions and a 30-second test at a constant speed. Bot Fit recorded motor signals and performance metrics, capturing key indicators such as repetitions and movement patterns. To analyze the relationship between muscle parameters and exercise performance, we employed correlation analysis, hierarchical cluster analysis (HCA), and regression analysis. The results demonstrated strong associations between lower limb strength and key exercises, including squats, knee-ups, and reverse lunges, particularly in short-duration and constant-speed conditions. HCA successfully clustered participants based on three exercise-related metrics with an accuracy of 0.89, while the regression model achieved a correlation coefficient of 0.86, indicating high statistical power. These findings suggest that Bot Fit provides a reliable, data-driven method for muscular strength assessment, offering valuable insights for optimizing exercise programs, preventing injuries, and enhancing physical performance. The integration of wearable robotic technology into health and fitness monitoring enables personalized exercise interventions and supports evidence-based decision-making in sports science, rehabilitation, and performance enhancement.

## Full-text entities

- **Diseases:** fatigue (MESH:D005221), communication impairments (MESH:D003147), neurological disorders (MESH:D009461), VJ (MESH:D009759), musculoskeletal disorders (MESH:D009140), movement impairments (MESH:D009069), paralysis (MESH:D010243), neurological injuries (MESH:D020196), cognitive disorders (MESH:D003072), cardiovascular diseases (MESH:D002318), aphasia (MESH:D001037), injuries (MESH:D014947), stroke (MESH:D020521), mobility impairments (MESH:D014086)
- **Chemicals:** silver (MESH:D012834), -D-25-09036Bot (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

54 references — full list in the complete paper: https://tomesphere.com/paper/PMC13021169/full.md

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Source: https://tomesphere.com/paper/PMC13021169