Sensors Magazine – Machine Learning For Fall Detection Using Wearable Sensors

Machine Learning achieves good success for automatic fall detection based on wearable sensors. Our iCoSys members Nicolas Zurbuchen and Pascal Bruegger, in collaboration with Adriana Wilde from the Centre for Health Technologies at the University of Southampton defined new state of the art results in their publication in Sensors magazine (Sensors 2021, 21(3), 938; Congrats to them. […]

Beyond words with iCoSys

iCoSys is a proud contributor of Cryfe, the software that analyzes the authenticity of your words. This project is a two years old baby, in partnership with CM Profiling, Idiap Research Institute and funded by Innosuisse. Listen to our collaborators dr. Oussama Zayene and dr. Beat Wolf to know more about the work they have been […]

Finishing an Innosuisse project with a presence at the CES 2021

The project ADVANCe is coming to an end after 2 years of development with CM-Profiling and the IDIAP research institute. Over the course of those 2 years, an innovative solution was developed to assists interviewers during job interviews. Based on machine learning algorithms, a complex data analysis platform has been developed from scratch to detect […]

Let’s excavate with some algorithms

Planning deep excavations is a long, complex but a very common task for geo-technical engineers. Through a collaboration of iCoSys and iTec, the Optisoil project uses machine learning to greatly speed up the process of evaluating a given deep excavation configuration.  It also enables new possibilities, such as automatically finding the optimal solution to a […]

New iCoService on board !

The deep learning micro-services library of iCoSys is extending with a NLP multilingual sentiment analysis. Check it out at here More precisely, we have built a polarity detection of text. The polarity is a number between 0 and 1 and texts with polarity values closer to 0 are negative, and positive if closer to 1. […]


iCoSys is proud to present SwissCrawl, the largest Swiss German text corpus to date! The tool was built by Lucy Linder with the supervision of Jean Hennebert & Andreas Fischer and is composed of more than half a million sentences, which were generated using a customized web scraping tool that could be applied to other […]

FREE graphical data analysis tool to fight against COVID-19

How can iCoSys help researchers and clinicians fight against the COVID-19 ? Our colleague Dr Beat Wolf developed with Phenosystems SA a graphical data analysis tool for genetic data since 2012 : GensearchNGS. He expanded it now to include the SARS-CoV2 virus genome, to help researchers and clinicians work against the virus. GensearchNGS allows geneticists to work with […]

Anomalies detection for an Industry 4.0

At iCoSys we bet on an Industry 4.0 future. Lorenz Rychener, Frédéric Montet & Jean Hennebert asked themselves about how to detect anomalies of production machines by using machine learning ? They wrote a reflection about the impact of using machine learning algorithms to increase the reliability of industrial process and also highlight the advantages of such […]