1 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
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…