The Sailport Project: A Trilateral Approach to the Improvement of Workers’ Safety and Health in Ports

Filippeschi, Alessandro; Pellicci, Mauro; Vanni, F.; Forte, Giulia; Bassani, Giulia; Landolfi, Lorenzo; Merich, Diego de; Campo, Giuliano; Avizzano, Carlo Alberto; Bergamasco, Massimo

doi:10.1007/978-3-030-20497-6_7

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…The proposed method has been developed in the framework of the Sailport project [ 6 ], a trilateral approach to improve both the safety and health of port workers. Port activities are typically unstructured and characterized by high biomechanical overload risks causing a high incidence of Work-related Musculoskeletal Disorders (WMSDs).…”

Section: Introductionmentioning

confidence: 99%

Wearable Sensor Network for Biomechanical Overload Assessment in Manual Material Handling

Giannini

Bassani

Avizzano

et al. 2020

Sensors

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The assessment of risks due to biomechanical overload in manual material handling is nowadays mainly based on observational methods in which an expert rater visually inspects videos of the working activity. Currently available sensing wearable technologies for motion and muscular activity capture enables to advance the risk assessment by providing reliable, repeatable, and objective measures. However, existing solutions do not address either a full body assessment or the inclusion of measures for the evaluation of the effort. This article proposes a novel system for the assessment of biomechanical overload, capable of covering all areas of ISO 11228, that uses a sensor network composed of inertial measurement units (IMU) and electromyography (EMG) sensors. The proposed method is capable of gathering and processing data from three IMU-based motion capture systems and two EMG capture devices. Data are processed to provide both segmentation of the activity and ergonomic risk score according to the methods reported in the ISO 11228 and the TR 12295. The system has been tested on a challenging outdoor scenario such as lift-on/lift-off of containers on a cargo ship. A comparison of the traditional evaluation method and the proposed one shows the consistency of the proposed system, its time effectiveness, and its potential for deeper analyses that include intra-subject and inter-subjects variability as well as a quantitative biomechanical analysis.

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Section: Introductionmentioning

confidence: 99%

Wearable Sensor Network for Biomechanical Overload Assessment in Manual Material Handling

Giannini

Bassani

Avizzano

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

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Safety management systems in multimodal transport networks: the case of commercial port infrastructures

Perazzi,

Pelizza,

Marzoni

et al. 2024

Procedia Structural Integrity

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Multi-Camera Extrinsic Calibration for Real-Time Tracking in Large Outdoor Environments

Tripicchio

D’Avella

Camacho-Gonzalez

et al. 2022

JSAN

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Calibrating intrinsic and extrinsic camera parameters is a fundamental problem that is a preliminary task for a wide variety of applications, from robotics to computer vision to surveillance and industrial tasks. With the advent of Internet of Things (IoT) technology and edge computing capabilities, the ability to track motion activities in large outdoor areas has become feasible. The proposed work presents a network of IoT camera nodes and a dissertation on two possible approaches for automatically estimating their poses. One approach follows the Structure from Motion (SfM) pipeline, while the other is marker-based. Both methods exploit the correspondence of features detected by cameras on synchronized frames. A preliminary indoor experiment was conducted to assess the performance of the two methods compared to ground truth measurements, employing a commercial tracking system of millimetric precision. Outdoor experiments directly compared the two approaches on a larger setup. The results show that the proposed SfM pipeline more accurately estimates the pose of the cameras. In addition, in the indoor setup, the same methods were used for a tracking application to show a practical use case.

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The Sailport Project: A Trilateral Approach to the Improvement of Workers’ Safety and Health in Ports

Cited by 3 publications

References 10 publications

Wearable Sensor Network for Biomechanical Overload Assessment in Manual Material Handling

Wearable Sensor Network for Biomechanical Overload Assessment in Manual Material Handling

Safety management systems in multimodal transport networks: the case of commercial port infrastructures

Multi-Camera Extrinsic Calibration for Real-Time Tracking in Large Outdoor Environments

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