Robotics is widely seen as a key enabling technology for the society of tomorrow. We
examine the role of robotics and intelligent medical devices in Intensive Care Medicine …

Computer vision field has achieved great success in interpreting semantic meanings from
images, yet its algorithms can be brittle for tasks with adverse vision conditions and the ones …

Human in-bed pose estimation has huge practical values in medical and healthcare
applications yet still mainly relies on expensive pressure mapping (PM) solutions. In this …

Sleep position is an important feature used to assess the quality and quantity of an
individual's sleep. Furthermore, it is related to sleep disorders like sleep apnoea and …

For bedridden elderly people, pressure ulcer is the most common and serious complication
and could be prevented by regular repositioning. However, due to a shortage of long-term …

There is a large interest on performing elderly care monitoring using Computer Vision. It has
the potential to provide a better scene understanding than current sensing approaches at an …

Computer vision is a non-invasive way to supervise patients in the bed. We introduce a
novel algorithm that monitors breathing rate from a depth camera placed above the bed …

Video monitoring of the patient position in the intensive care units is complicated by the
obstacles covering the patient body. Conventional posture detection algorithms do not work …

Estimating the pose of the human body lying on the bed has enormous and valuable
benefits in various applications such as medicine and healthcare. Regular and long-term …

We present a real-time depth based computer vision system for pressure ulcer prevention, in-
bed patient care and monitoring. Our system can effectively determine whether or not a …