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The iHomeLab regularly informs about new projects, developments and awards.
Activity recognition system for heterogeneous smart home setups. Create value for smarthome owners by providing them with highly personalized tips on how to better use their system.
Quantum technology for non-contact and sensitive measurement of magnetic fields and electric currents.
Automated collection and processing of agricultural data with "Natural Language Processing" and Machine Learning to make market information from the agricultural sector accessible to a broad mass with an app.
The iHomeLab has developed a sensor system and a modified smart watch that help to find the right dosage for Parkinson's medication.
Novel sensor system based on hyperspectral imaging in the VIS/NIR range for continuous quality monitoring integrated in the production process in raw material processing
The iHomeLab has, together with partners, developed a voice assistant that works locally and does not transmit any data to the cloud.
In his presentation on "What data is enough for Smart Maintenance?", the head of iHomeLab explained how iHomeLab assesses and measures data for Smart Maintenance applications and how we develop algorithms for Smart Maintenance.
The Swiss eHealth start-up evismo and the iHomeLab of the Lucerne University of Applied Sciences and Arts are jointly developing algorithms to detect and predict cardiac arrhythmias earlier.
The iHomeLab has launched the HiStory project. The goal: older people should be better integrated into social life by telling and digitally recording their life stories.
Media release on the Oposad project which aims to minimize standby consumption of office equipment.
Our researchers have investigated this question in a paper. What challenges could arise in recognising special dialects, in questions of confidentiality or in the integration into existing care documentation systems?
