Multidisciplinary Study of Biological Parameters and Fatigue Evolution in Quay Crane Operators

Abstract In intermodal terminals the handling of containers and the number of accidents still depends on a wide range of human errors due to fatigue despite the automation level reached nowadays. For this reason it is very important to increase knowledge about the factors affecting the propensity of operators to make errors, increasing the chance of accidents happening. The aim of this work is to propose a novel approach to assess fatigue and performance levels in quay crane operators as a function of physiological parameters and of the many varying boundary conditions encountered in daily work. During their work, quay crane operators have to deal with variable environmental conditions, such as task type, wind speed and direction, lighting conditions that reduce visibility that can require an exacting level of attention. In the trial eight operators have been examined in a session lasting four hours. All actual conditions are reproduced through a fully immersive quay crane simulator. The operator completes the assigned task (the same for each one) and can see through four wide monitors a high quality virtual reality view of the simulation. Most biological parameters are acquired using different devices including a Holter ECG monitor, electromyographic monitoring the four trunk muscles most involved in the test, eye tracker and seat-body pressure interface for both seat pan and backrest. Changes in physiological parameters have been monitored during the trial and interesting correlations with performance levels and boundary conditions have been found for each operator, in accordance with their age and skills. The present study can form the basis for further investigations aimed at developing a cost effective, reliable and robust system for monitoring increasing fatigue and for predicting the critical conditions that may result in an accident.

[1]  Maury A. Nussbaum,et al.  Driver sitting comfort and discomfort (part II): Relationships with and prediction from interface pressure , 2008 .

[2]  A. Craig,et al.  Driver fatigue: electroencephalography and psychological assessment. , 2002, Psychophysiology.

[3]  Maarten A. S. Boksem,et al.  Mental fatigue, motivation and action monitoring , 2006, Biological Psychology.

[4]  P Sherry FATIGUE COUNTERMEASURES IN THE RAILROAD INDUSTRY: PAST AND CURRENT DEVELOPMENTS , 2000 .

[5]  D.D.I Daruis,et al.  Relationship between Objective and Subjective Methods in Evaluating Static Discomfort of Car Driver Seat , 2012 .

[6]  Mark S. Gilzenrat,et al.  Pupil diameter tracks changes in control state predicted by the adaptive gain theory of locus coeruleus function , 2010, Cognitive, affective & behavioral neuroscience.

[7]  Nadine M. Dunk,et al.  Gender-based differences in postural responses to seated exposures. , 2005, Clinical biomechanics.

[8]  Seokhee Na,et al.  Evaluation of driver's discomfort and postural change using dynamic body pressure distribution , 2005 .

[9]  Qiang Ji,et al.  Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance , 2002, Real Time Imaging.

[10]  C D Wylie,et al.  COMMERCIAL MOTOR VEHICLE DRIVER FATIGUE AND ALERTNESS STUDY: PROJECT REPORT , 1996 .

[11]  Xin Tao,et al.  Assessment of Driver Movements during Prolonged Driving Using Seat Pressure Measurements , 2011 .

[12]  I. E. Loewenfeld,et al.  THE SLEEP‐WAKING CYCLE AND PUPILLARY ACTIVITY * , 1964, Annals of the New York Academy of Sciences.

[13]  Giuseppe Andreoni,et al.  Method for the analysis of posture and interface pressure of car drivers. , 2002, Applied ergonomics.

[14]  Dimitri van der Linden,et al.  The urge to stop: The cognitive and biological nature of acute mental fatigue. , 2011 .

[15]  R. Yerkes,et al.  The relation of strength of stimulus to rapidity of habit‐formation , 1908 .