Index

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? ...

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.

The image looks deceptively real: the Pope wearing a white down jacket. The depiction spreads across the internet, gets shared, admired, and commented on. The image was never actually photographed but generated by an AI. Who is responsible for it? Programmers? Those who uploaded the photo, shared it...

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...

Dear EmpkinS team, dear colleagues and dear business partners, we wish you a happy new year and much success and good luck for 2024. We look forward to continuing the good cooperation from last year and reaching new milestones with the CRC. Thank you for your commitment and your achievements.

Tracking hand movements has numerous applications, including "Virtual Reality" and "Human-Computer Interaction," but especially in the field of medicine. For instance, in rheumatology, the objective assessment and quantification of hand function play a crucial role. The research of sub-project A01 a...

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...

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...

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...

Nikita Shanin won the 2nd Prize at the Four-Minute-Thesis (4MT) Competition organized by the IEEE Communications Society. The 4MT Competition challenged PhD students to explain their research topic to a broad non-specialist audience in just 4 minutes. In the preliminary round of the competition, the...