VU-AMS
The VU University Ambulatory Monitoring System (VU-AMS) developed at the VU University in Amsterdam is used worldwide by many research groups to study stress and emotion in both laboratory and naturalistic settings.
Explore other Projects:
EatEase
EatEase is revolutionizing the restaurant industry through the power of cutting-edge technologies. Leveraging Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP), EatEase helps restaurants achieve remarkable advancements across various aspects of their operations. EatEase’s sophisticated algorithms and data-driven insights enable restaurants to enhance sustainability practices, minimize food waste, and optimize operations. Location: […]
Nano Hybrids
Nano Hybrids aims at solving the synthesis of hybrid core-shell nanoparticles to unlock their potential. After more than 30 years of research, the potential of nanoparticles for applications with high technological and societal impact is widely agreed upon. But, production methods remain a bottleneck for their wide deployment into broader markets. Nano Hybrids is developing […]
ReadLer
AI application for tailored feedback on how to improve speech. ReadLer is an AI-powered digital assistant focused on children with language and speech disabilities. The application gives detailed feedback on how to improve speech and pronunciation. It can be used as both complementary and independently from language therapy. The ReadLer AI application will give tailored […]