2024-09-11 05:00:13
In the airline industry, some companies occasionally give connected bracelets to volunteer crew members. The sensors they contain make it possible to accurately monitor the sequence of their activity and rest phases. Thanks to the data collected, it will also be possible to analyze their sleep during the nights following a rotation with jet lag.
With these actimetry campaigns, companies in the sector are pursuing one objective: to estimate as precisely as possible the level of fatigue of teams and the risks that may be associated with it. “If this level is deemed too high, we will be able to change the way we operate the flight.explains a captain who wished to remain anonymous. For example, it will be decided to increase the rest time during stopovers, to add a pilot to the crew or to change hotels in order to reduce the travel time from the airport.
The exploitation of “data” to serve the health and safety of employees? This is already a reality in the aviation sector. However, it is only time for experiments in most other sectors of activity. They suggest promising applications thanks, in particular, to the exponential development of artificial intelligence (AI) capabilities. “In dangerous environments, an AI system trained with data captured during accidents can help anticipate risky situations”says Yann Ferguson, sociologist at the National Institute for Research in Digital Science and Technology.
Another avenue explored by research: the development of connected personal protective equipment capable of taking regular measurements of employees’ physiological parameters (heart rate, body temperature, etc.). These solutions make it possible to give an alert, in real time, in the event of fatigue or loss of vigilance of the worker. Similarly, thanks to sensors, biometric data can be analyzed during certain movements or load carrying (with the capacity to take into account the cumulative weight carried) and prevent the onset of musculoskeletal disorders or injuries.
With caution and attention
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So many applications that could be implemented in companies in the coming years. However, a few steps remain to be taken to ensure their optimal deployment. “There are still reliability issues”note M. Ferguson. Decision support systems will often be configured so that the user cannot miss a risk. As a result, they will sometimes generate “false positives”. False alarms that can have a cost for the company, the prediction of a risk of accident that could lead to the cessation of activity.
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The Future of Fatigue Management: Harnessing Actigraphy and AI for Employee Health and Safety
In the modern workforce, fatigue is a growing concern that can have significant consequences for employee health, safety, and productivity. The airline industry has taken a proactive approach to addressing this issue, using actigraphy campaigns to monitor the sleep patterns and fatigue levels of crew members. This innovative approach has the potential to revolutionize the way we manage fatigue across various industries.
Actigraphy: The Science Behind Fatigue Monitoring
Actigraphy is a non-invasive method of monitoring sleep and activity patterns using wearable devices or sensors. By analyzing data collected from these devices, researchers can identify patterns of fatigue and correlate them with performance, safety, and health outcomes [[1]]. A recent study even developed a fatigue assessment system that uses actigraphy and ECG sensors to automatically output fatigue scores [[2]]. This technology has far-reaching implications for industries where fatigue can have serious consequences, such as aviation, healthcare, and manufacturing.
The Aviation Industry: A Pioneer in Fatigue Management
In the aviation sector, companies are using actigraphy to estimate the level of fatigue among crew members and identify potential risks associated with it. By analyzing data on sleep patterns, activity levels, and rest phases, airlines can make informed decisions about flight operations, such as increasing rest time during stopovers or adding pilots to the crew [[3]]. This proactive approach has the potential to reduce the risk of accidents and improve overall safety.
Beyond Aviation: Applications in Other Industries
While the aviation industry is at the forefront of fatigue management, other sectors are beginning to explore the potential of actigraphy and artificial intelligence (AI) in employee health and safety. For example, connected personal protective equipment (PPE) can take regular measurements of physiological parameters, such as heart rate and body temperature, to detect fatigue or loss of vigilance in real-time. This technology can be particularly useful in industries where employees are at risk of musculoskeletal disorders or injuries.
The Role of Artificial Intelligence in Fatigue Management
The exponential development of AI capabilities is expected to play a significant role in the future of fatigue management. AI systems trained on data captured during accidents can help anticipate risky situations and prevent them from occurring. Additionally, AI-powered algorithms can analyze biometric data to identify patterns of fatigue and alert employers to take proactive measures.
Conclusion
The use of actigraphy and AI in fatigue management has the potential to transform the way we prioritize employee health and safety. By leveraging these technologies, industries can reduce the risk of accidents, improve productivity, and enhance overall well-being. As we move forward, it is essential to approach these innovations with caution and attention, ensuring that employee privacy and data protection are respected. The future of fatigue management is bright, and it is up to us to harness the power of technology to create a safer, healthier workforce.
The Future of Fatigue Management: Harnessing Actigraphy and AI for Employee Health and Safety
In the airline industry, some companies are taking a proactive approach to monitor the fatigue levels of their crew members by providing them with connected bracelets that contain sensors. These sensors accurately monitor the sequence of their activity and rest phases, allowing for the analysis of their sleep patterns during nights following a rotation with jet lag [[1]]. The goal of these actimetry campaigns is to estimate as precisely as possible the level of fatigue of teams and the risks associated with it. If the level of fatigue is deemed too high, companies can take measures to mitigate it, such as increasing rest time during stopovers, adding pilots to the crew, or changing hotels to reduce travel time from the airport.
The use of “data” to serve the health and safety of employees is already a reality in the aviation sector, but it’s still in the experimental phase in most other industries. However, with the exponential development of artificial intelligence (AI) capabilities, promising applications are emerging. For instance, AI systems trained with data captured during accidents can help anticipate risky situations in dangerous environments [[2]].
Another avenue being explored is the development of connected personal protective equipment that can take regular measurements of employees’ physiological parameters, such as heart rate and body temperature. These solutions can provide real-time alerts in the event of fatigue or loss of vigilance, preventing the onset of musculoskeletal disorders or injuries. Similarly, sensors can analyze biometric data during certain movements or load carrying, taking into account the cumulative weight carried, to prevent injuries [[3]].
With Caution and Attention
While these applications hold great promise, there are still reliability issues to be addressed. Decision support systems may be configured to err on the side of caution, generating false positives that can have a cost for the company, such as the prediction of a risk of accident that could lead to the cessation of activity.
The Role of Actigraphy in Fatigue Management
Actigraphy, a non-invasive method of monitoring human rest and activity, has been increasingly used in various fields, including fatigue assessment. Research has shown that actigraphy can be used to measure fatigue levels in individuals, including cancer patients [[3]]. A study published in 2020 aimed to develop a fatigue assessment system that can automatically output fatigue scores given Actigraphy data, demonstrating the potential of actigraphy in fatigue management [[1]].
The Future of Fatigue Management
As AI capabilities continue to evolve, the possibilities for fatigue management are vast. AI can be used to analyze large amounts of data, identifying patterns and predicting fatigue levels. This can enable companies to take proactive measures to prevent fatigue-related accidents and improve overall employee health and safety. However, it’s essential to address the reliability issues and ensure that these systems are configured to provide accurate and trustworthy data.
Conclusion
The future of fatigue management holds great promise, with the integration of actigraphy and AI capabilities. While there are still challenges to be addressed, the potential benefits are undeniable. Companies can use these technologies to improve employee health and safety, reduce the risk of accidents, and increase productivity. As the field continues to evolve, we can expect to see even more innovative applications of actigraphy and AI in fatigue management.
