Jul 2026· International Conference on Control, Decision and Information Technologies· pp. 1505-1510· 0 citations· 10 references
Abstract
Recent statistics on work-related non-fatal and fatal injuries show that falls from height (FFH) are the leading causes, having a negative impact on socio-economic levels. Among industrial sectors, the construction industry has the highest rate of fatal injuries. Although safety harnesses, personal protective equipment (PPE), and collective protection systems are mandated by national laws, these tools have been insufficient to effectively address the problem. Smart wearable technologies and advanced materials can help predict and react to FFH events. This work proposes the design of a new fallimpact-mitigation wearable airbag to protect the front and back of the user, integrated into a technical vest. The system is activated by a falling-risk-estimation algorithm that can distinguish between voluntary movements and accidental falls. The device meets level-2 protection requirements according to EN1621-4, offering protection to users falling from 1.5 to 4 m. The proposed apparatus naturally extends this to types of falls from the same level.
The increase in the elderly population in Indonesia raises concerns about fall accidents. Many mitigation strategies are available to reduce fall accidents among the elderly. Two main strategies have been widely explored, i.e., fall detection and impact reduction. Despite its disadvantages, fall detection devices remain useful and important for future research. In addition, it is also urgent to address the impact reduction method by providing cushioning to minimize the physical impact on the subject of the fall. This study proposes a wearable safety vest equipped with a pre-impact fall-detection system and an automatically inflating airbag to protect the wearer during a fall. The main contributions of this study are the design and implementation of a lightweight wearable airbag vest for elderly protection, the development of a machine-learning-based pre-impact fall detection, and a quantitative evaluation of impact reduction using accelerometer-based measurements. The proposed safety vest with airbag has been trained, validated, and tested, with the subject achieving fall detection accuracy beyond 90% and the airbag deployment delay of less than 1 second after detection. The experiment results also show that the use of the airbag could reduce the impact shock down to 40-50% based on the accelerometer measurements.
W. A. Cahyadi, Husneni Mukhtar, Suto Setiyadi et al.· Indonesian Journal of Electr...· 0 citations
This study aims to evaluate the effectiveness of a smart wearable system in enhancing workplace safety, compliance and operational efficiency in construction projects, particularly focusing on reducing injuries, improving personal protective equipment (PPE) compliance and optimising emergency response times.
A smart wearable system comprising head and hand protection units was implemented at United Builders, Panvel. The system utilised sensors to monitor gas levels, temperature and motion, providing real-time alerts and location tracking. Data were collected over a month (December) to analyse safety compliance, emergency response and worker satisfaction. Comparative analysis was performed using historical data from the past three years.
The implementation of the smart wearable system resulted in a reduction in minor injuries, down from an average of five to one during the study period. PPE compliance rates improved significantly, rising to 95%. Emergency response times decreased from an average of 16.33 to 4 min. Project delays due to safety issues were reduced from 17.67% to 5%, and worker satisfaction improved to 85%, indicating enhanced confidence in workplace safety measures.
These findings highlight how smart wearable systems can directly tackle long-standing safety challenges in construction by improving real-time monitoring and quick response to hazards. The results also suggest that integrating such technologies enhances worker satisfaction and perceived confidence in workplace safety, as reflected in the survey results, while also reducing costly delays. However, broader adoption will require careful planning, worker training and addressing data privacy concerns.
The smart wearable system demonstrated its potential to significantly improve construction safety by leveraging Construction 4.0 technologies. The results suggest that the proposed system can contribute to improved safety monitoring, enhanced compliance and better operational efficiency, particularly in pilot-scale deployments. These results highlight the importance of adopting smart systems for fostering safer, more productive construction environments. This research highlights the potential for integrating such Internet of Things-enabled smart wearable systems into patented safety solutions for the construction industry, thereby bridging the gap between academic innovation and practical, legally protected applications.
The development of an AI and Internet of Things (IoT) enabled Smart Safety Harness System for enhancing working at height safety in industrial applications with significant potential for application in construction, manufacturing, petrochemical, power, mining, and infrastructure industries.
Dilip Patel, Mohsin Khan and Dr. Madhuri Asati· International Journal of Adv...· 0 citations
Abstract Introduction Accidents involving machinery and forklifts are a major cause of worker fatalities. The Fourth Industrial Revolution and Health 4.0, with technologies such as wearables and the Internet of Things, offer solutions to prevent accidents. Objective To map scientific evidence on the implementation of collision-prevention technologies in forklift operations, with a focus on reducing accidents and promoting a safe work environment. Methods A scoping review was conducted with searches of 11 databases. The research protocol was registered on the Open Science Framework (OSF) (). Articles available in full text, in any language, and without time restrictions were included. Results The initial search yielded 390 articles, of which eight were selected for this review. The main approaches analyzed included the Industrial Internet of Things, computer vision, automation, 3D image capture, and data analysis. Conclusion The studies indicate that the adoption of these technologies in industrial settings represents a significant advance in creating safer working conditions, with great potential to shape the future of occupational safety.
Unknown authors· Revista Brasileira de Saúde...· 0 citations
Construction workers face disproportionate rates of fatal and nonfatal injuries, including falls, heat strain, overexertion, and struck-by incidents, that passive personal protective equipment cannot continuously monitor. Smart garments, which embed sensors and microelectronics directly into textile apparel, offer a deployable infrastructure for continuous worker-level physiological and kinematic monitoring. This PRISMA-guided systematic review synthesizes 76 records (search executed 31 December 2025; coverage 2000–2026), of which 63 are empirically validated and used for benchmarking. Four analytical contributions are made: (i) a tiered corpus classification separating construction-direct, transferable, and contextual evidence; (ii) stratification of all performance claims by validation context; (iii) explicit transferability assessment for records from healthcare, occupational safety, sports, and rehabilitation; and (iv) a deployment-maturity framework evaluating readiness across technical performance, validation maturity, operational durability, human and organizational acceptance, and system integration, extending beyond single-dimension scores such as NASA TRL. Only 7 of 63 empirical records (11%) were field or field-simulated, of which 6 reached TRL 5; most other systems remain at TRL 4. The framework suggests that technical performance is less often the primary limiting dimension than validation maturity, durability, and integration, although this conclusion is constrained by the dominance of laboratory and transferable evidence.
Background
Wearable technologies are used in sport to monitor training load, biomechanics, physiology, and recovery, but their effectiveness in injury prevention remains uncertain.
Aim
To evaluate evidence on wearables for sports injury prevention using a framework covering measurement validity, injury association, prognostic modelling, implementation, and intervention effectiveness.
Material and methods
A narrative review of wearables monitoring modifiable injury-related factors was conducted. Findings were organized across five translational levels, from measurement validity to injury reduction, following SANRA recommendations [20].
Results
Validity and reliability depend on the device, algorithm, sensor placement, and sporting task. Associations between wearable-derived metrics and injuries are inconsistent and do not support universal risk thresholds. Machine-learning models show promise, but their use is limited by poor external validation, calibration, and methods. Implementation, organizational context, and human decision-making affect practical value. Direct evidence that wearable-guided interventions reduce injuries remains scarce.
Conclusions
Wearables should be viewed as monitoring and decision-support tools rather than autonomous injury-prevention systems. Evidence is strongest for measurement and weakens toward injury reduction. Future research should prioritize multicentre validation, causal modelling, standardized reporting, and pragmatic trials.
Alicja Benecka, Iwona Kawka-Bryk, Oliwia Wróblewska et al.· Quality in Sport· 0 citations
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