Welcome to the Wearable Computing Lab.

The interdisciplinary Wearable Computing Group which is headed by Prof. Gerhard Tröster consists of 3 PostDocs, 20 PhD students and 2 technicians. Our core expertise lies in miniaturized mobile and flexible electronics, thinfilm technology and smart textile, as well as in signal processing, sensor fusion, machine learning and sensor platforms. We capitalize on this expertise in designing wearable computers capable of smart assistance.

Research projects cover the fields of:

• Wearable and mobile computing platforms
• Smart textiles and clothes
• Personal e-Health
• Individual activity and context recognition
• Opportunistic, collective, crowd-sourced activity and context recognition in Sensor Nets
  
• Plastic electronics
  
• Wearable technologies for sports applications
• Music
  

Current projects

The Wearable Computing Lab is currently involved in the following European-funded or Swiss-funded research projects:

• CuPiD: Closed-loop system for personalized and at-home rehabilitation of people with Parkinson's Disease
  
• Smart-DAYS: Smart Distributed daily living ActivitY recognition Systems
  
• MONARCA: Monitoring, treatment and prediction of bipolar disorder episodes
• ProFiTex: Providing Fire Fighters with Technology for Excellent Work Safety
• OPPORTUNITY: Activity and Context Recognition in Opportunistic Sensor Configurations (FP7 FET-Open)
• SOCIONICAL: Complex Socio-Technical Systems in Ambient Intelligence (FP7 FET-Proactive)

Past projects

In the past, the Wearable Computing Lab was involved in the following European-funded or Swiss-funded research projects:

• SENSEI: Integrating the physical with the digital world of the network of the future.
• SEAT: Monitoring of physiological parameters and context recognition to support the development of a novel integrated airplane cabin environment.
• Daphnet: A wearable platform designed for the analysis of dynamics and correlations among physiological signals over long period of time.
• eSense: Capturing Ambient Intelligence for Mobile Communications through Wireless Sensor Networks
• WearIT@Work: On-line activity recognition methods using the QBIC belt integrated computer in the context of industrial car manufacturing.
• MyHeart: On-line monitoring of nutrition using body-worn sensors to support fighting cardio-vascular diseases.

Showcase presents some of our latest videos and the press coverage.