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Smart technology and multibody simulation offer potential pathways for improving skier safety and injury preventionSmart Technology and Simulations May Improve Safety for Skiers

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Key Takeaway
Note that while smart technologies show potential for skier safety, significant technical barriers to real-time systems remain.

This narrative review synthesizes 150 sources to evaluate the role of smart technology, wearable sensors, environmental sensing, and multibody simulation in improving skier safety and preventing injuries. The review distinguishes between technologies currently useful for measurement and protection versus those that remain experimental or conceptual.

Key findings include the identification of significant barriers to implementing real-time predictive safety systems, specifically regarding validation, calibration, uncertainty quantification, interoperability, false-alarm control, and field robustness. The authors propose a Human-Skills-Equipment-Environment framework and a Conceptual Skier Safety Index to structure the analysis of these systems.

The authors note that the current literature is characterized by heterogeneous study designs, outcomes, and levels of technological maturity. These factors may limit the immediate applicability of some conceptual models to real-world scenarios.

For clinical and practical application, the review provides a research roadmap. It emphasizes the need for prospective validation with human-subject data, standardized multimodal data sets, transparent model verification, and controlled evaluation of adaptive safety interventions to move from conceptual models to practical safety tools.

A review of 150 sources looked at how smart technology can make skiing safer. The researchers looked at tools like wearable sensors, environmental sensing, and digital twins. These technologies aim to help prevent injuries by monitoring conditions and movements in real time.

The review found that while some technologies are already useful for protection, many others are still experimental. There are several hurdles to making these systems work perfectly in the real world. These challenges include the need for better calibration, managing data uncertainty, and ensuring different systems can work together without giving false alarms.

Because this was a narrative review of existing literature, the findings are currently conceptual. The research provides a roadmap for future studies to test these tools with real people. For now, these technologies are not yet standard practice, but they offer a path toward better safety systems for skiers.

What this means for you:
Smart sensors and digital twins show potential to improve ski safety, but many technologies are still experimental.

Common questions

What kind of technology can help prevent skiing injuries?

The review identified several types of technology, including wearable sensors, environmental sensing, and digital twins. These tools, along with multibody simulations, are being explored to help monitor conditions and movements to improve safety for skiers.

Are these safety technologies ready to use on the slopes?

Not all technologies are ready for immediate use. The review distinguished between tools already useful for protection and those that are still experimental or conceptual. Some systems still need better calibration and testing in real-world environments.

What are the main challenges for these safety systems?

Several barriers exist for real-time safety systems, including the need for better calibration, managing uncertainty, and ensuring different systems can work together. These factors must be addressed before these technologies can be widely adopted for skier safety.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedSep 2026
View Original Abstract ↓
This structured narrative review examines how smart equipment, wearable and environmental sensing, digital twins, and multibody simulation can contribute to skier safety and prevention of ski-injury. The Scopus® search produced 58,919 aggregate query returns; after excluding two deliberately broad searches, 1,285 targeted-query records were screened and 74 sources were retained. The backward and the forward search for citation searches supported by Google Scholar™ identified another 76 sources, giving 150 included sources. Because the literature is heterogeneous in study design, outcome, and technological maturity, the evidence was synthesised qualitatively rather than by meta-analysis. The review distinguishes technologies that are already useful for measurement or protection from approaches that remain experimental or conceptual. It also identifies validation, calibration, uncertainty quantification, interoperability, false-alarm control, and field robustness as the principal barriers to real-time predictive safety systems. Finally, a non-validated Human–Skills–Equipment–Environment framework and a conceptual Skier Safety Index are presented solely as hypotheses for future research. The resulting roadmap prioritises prospective validation with human-subject data, standardised multimodal data sets, transparent model verification, and controlled evaluation of adaptive safety interventions.
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