6 papers
Physiological Measures of the Mental Workload in Users of a Lower Limb Exosuit: A Comparison of Subjective and Objective Metrics
Giulia Mariani, Chiara Lambranzi, Nicholas Cartocci +4
Lower-limb exosuits are particularly relevant for individuals with some degree of mobility impairment, such as post-stroke patients or older adults with reduced movement capabiliti…
How can AI reduce wrist injuries in the workplace?
Roberto F. Pitzalis, Nicholas Cartocci, Christian Di Natali +3
This paper explores the development of a control and sensor strategy for an industrial wearable wrist exoskeleton by classifying and predicting workers' actions. The study evaluate…
How can AI reduce fall injuries in the workplace?
Nicholas Cartocci, Antonios E. Gkikakis, Roberto F. Pitzalis +4
Fall-caused injuries are common in all types of work environments, including offices. They are the main cause of absences longer than three days, especially for small and medium-si…
Real-time Fall Prevention system for the Next-generation of Workers
Nicholas Cartocci, Antonios E. Gkikakis, Darwin G. Caldwell +1
Developing a general-purpose wearable real-time fall-detection system is still a challenging task, especially for healthy and strong subjects, such as industrial workers that work…
Ergonomic Assessment of Work Activities for an Industrial-oriented Wrist Exoskeleton
Roberto F. Pitzalis, Nicholas Cartocci, Christian Di Natali +4
Musculoskeletal disorders (MSD) are the most common cause of work-related injuries and lost production involving approximately 1.7 billion people worldwide and mainly affect low ba…
Recognition of Physiological Patterns during Activities of Daily Living Using Wearable Biosignal Sensors
Nicholas Cartocci, Antonios E. Gkikakis, Natalia Kurvina +5
A key aspect of developing fall prevention systems is the early prediction of a fall before it occurs. This paper presents a statistical overview of results obtained by analyzing 2…