# Ergonomic Innovation: A Modular Smart Chair for Enhanced Workplace Health and Wellness

**Authors:** Zilvinas Rakauskas, Vytautas Macaitis, Aleksandr Vasjanov, Vaidotas Barzdenas

PMC · DOI: 10.3390/s25134024 · Sensors (Basel, Switzerland) · 2025-06-27

## TL;DR

A smart chair with sensors and alerts helps improve workplace health by encouraging better posture and reducing prolonged sitting.

## Contribution

A modular smart chair system with posture monitoring and alerts is developed for universal compatibility and health improvement.

## Key findings

- The smart chair detected correct posture with 94.78% accuracy in a pilot study.
- 97.59% of users responded to alerts by adjusting their posture within 3.27 seconds on average.
- The chair operated for over eight workdays on a single charge.

## Abstract

The increasing prevalence of sedentary lifestyles poses significant global health challenges, including obesity, diabetes, musculoskeletal disorders, and cardiovascular issues. This paper presents the design and development of a universal smart chair system aimed at mitigating the adverse effects of prolonged sitting. The proposed solution integrates a pressure sensor, vibration motors, an LED strip, and Bluetooth Low-Energy (BLE) communication into a modular and adaptable design. Powered by an STM32WB55CGU6 microcontroller and a rechargeable lithium-ion battery system, the smart chair monitors sitting duration and the user’s posture, and provides alerts through tactile, visual, and auditory notifications. A complementary mobile application allows users to customize sitting time thresholds, monitor activity, and assess battery status. Designed for universal compatibility, the system can be adapted to various chair types. Technical and functional testing demonstrated reliable performance, with the chair operating for over eight workdays on a single charge. The smart chair offers an innovative, cost-effective approach to improving workplace ergonomics and health outcomes, with potential for further enhancements such as posture monitoring. A pilot study with 83 students at VILNIUS TECH showed that the smart chair detected correct posture with 94.78% accuracy, and 97.59% of users responded to alerts by adjusting their posture within an average of 3.27 s.

## Linked entities

- **Diseases:** obesity (MONDO:0011122), diabetes (MONDO:0005015)

## Full-text entities

- **Diseases:** musculoskeletal disorders (MESH:D009140), diabetes (MESH:D003920), obesity (MESH:D009765)
- **Chemicals:** lithium (MESH:D008094)

## Full text

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## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12252288/full.md

## References

21 references — full list in the complete paper: https://tomesphere.com/paper/PMC12252288/full.md

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Source: https://tomesphere.com/paper/PMC12252288