LNOS 2023

The 11th “Long Night of Science” occurred in October 2023. People used the opportunity to get to know EmpkinS interactively. Listed below are the different stands from the sub-projects of EmpkinS. Click on them to get an inside on what happened that day.

EmpkinS was also present in the children´s program of the LNOS. Our sub-project D02 of clinical psychology developed a computer game controlled by one's facial expression. The game resembles the famous game of Flappy Bird but in this case, the Kids control the bird with their own facial expressions....

Category: LNOS

Sub-projects C04 and D01 worked together to answer the following questions. How do you get a robot to move optimally? What are the differences in movements between healthy and sick individuals? The LTD measures, analyzes, and controls movements. During the demonstration in the Dynamics Laboratory, p...

Category: LNOS

In amusing short presentations, known as SLAMS, scientists from various disciplines, from the sub-projects A04, B04, D04, and E, vividly and entertainingly showcased their research. Together, you work on the future of healthcare. You may be wondering: What does the healthcare of tomorrow look like? ...

Category: LNOS

In this stand, the staff of palliative care and research, from sub-project D05, introduced themselves and answered the visitors' questions. Here people got to learn more about medical technology in palliative care, existential suffering, the research advisory board, and care on the palliative ward.

Category: LNOS

Discover the bed of the future! The sub-project's D04 innovative clinic bed with contactless radar sensors is revolutionizing medical monitoring. Precise measurement of breathing information and heartbeats allows continuous monitoring without disruptive cables or sensors. Healthcare professionals ga...

Category: LNOS

Through the use of biomechanical simulations, we can analyze human movements to gain valuable insights into performance or health conditions. This means that we can externally observe the internal states of a person. Additionally, we can create entirely new movements, for instance, to virtually test...

Category: LNOS

To automatically capture depression-associated facial expressions in humans, the research of the sub-project D02 employs Empathokinesthetic Sensor technology and Machine Learning methods. The ongoing advancements in Artificial Intelligence (AI) provide exciting opportunities for interdisciplinary co...

Category: LNOS

To capture the effects of acute stress on posture and movement as naturally as possible, sub-project D03 uses modern sensor technology, known as "Motion Capture" techniques, to generate kinematic body models. From these models, movement characteristics are extracted and assessed using Artificial Int...

Category: LNOS