Movement Triggers

Why use risk scenarios with movement triggers?
Analyzing employee movement plays a key role in managing productivity and preventing ergonomic risks. Traditional work sampling methods rely on human observation, which can make data collection inaccurate and hard to scale. Movement analysis enables the identification of unproductive periods, supports fatigue analysis, and helps mitigate work-related musculoskeletal disorders—reducing leave and improving operational processes.

Where to use movement triggers?
Environments requiring a balance between productivity and occupational health are especially vulnerable to musculoskeletal risks. These risks arise from repetitive physical strain, poor posture, and a lack of alternation between effort and rest periods. Examples include:

Poor ergonomic conditions with high movement
Such as production lines, mechanical/electrical maintenance, and construction inside industrial plants. Medium-to-high intensity periods and resting moments should be monitored to assess risks and productivity.

Workers sitting for long periods or lifting weight
Such as forklift operators and drivers, who are more prone to musculoskeletal issues. Movement patterns should be analyzed for prevention.

Sectors where idleness must be controlled
Such as logistics operations and monitoring centers, where constant activity is key to productivity. Low-level triggers help detect idle moments.

High-intensity manual labor sectors
Such as maintenance, cargo handling, and foundries, where effort and recovery cycles must follow safety regulations.

How to start movement risk scenarios?
The platform allows configuration of intensity thresholds for movement analysis, based on the following levels:

The platform allows you to define movement monitoring thresholds:

When and how should incidents triggered by movement be handled?
Employees’ movement patterns can be analyzed to automatically classify intensity levels. Continuous monitoring helps detect excessive or insufficient effort, preventing health and safety risks.

Prolonged low movement (Lower than Low)
May indicate idle time
​Recommended actions: Encourage active breaks and posture changes. Alternate tasks to reduce fixed posture impact. Monitor signs of fatigue or physical discomfort.

Sustained moderate movement (Equal to Medium)
May suggest prolonged repetitive effort, increasing overload injuries
​Recommended actions: Ensure muscle recovery breaks. Review workstation ergonomics. Monitor fatigue and activity rotation needs.

Frequent intense movement (Greater than High)
May signal excessive effort and physical exhaustion risk
​Recommended actions: Enforce mandatory breaks. Reassess workload and exposure time to intense tasks. Ensure proper PPE usage and ergonomic measures.

How to start configuring heart rate triggers

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Patel, V., Chesmore, A., Legner, C. M., & Pandey, S. (2022). Trends in workplace wearables and connected worker solutions for next-generation safety, health, and productivity. Advanced Intelligent Systems, 4(2100099). https://doi.org/10.1002/aisy.202100099

Motta, F., Varrecchia, T., Chini, G., Ranavolo, A., & Galli, M. (2024). Wearable systems for assessing musculoskeletal risk at work: a systematic review. International Journal of Environmental Research and Public Health, 21(12), 1567. https://doi.org/10.3390/ijerph21121567

Gong, Y., Yang, K., Seo, J., & Lee, J. G. (2022). Wearable acceleration-based action recognition for continuous activity analysis at construction sites. Journal of Building Engineering, 52, 104448. https://doi.org/10.1016/j.jobe.2022.104448