Projects

Tags

accelerometry adaptive-array-signal-processing algorithm-development-and-simulation audio-processing audio/acoustic deep-learning electrocardiography-ecg electroencephalography-eeg electrohysterography-ehg electromyography-emg electrophysiology experimental healthcare healthcare/cardiovascular healthcare/neuromuscular healthcare/oncology healthcare/perinatology healthcare/sleep human-circadian-rhythm image-analysis intelligent-lighting internal internet-of-things jointly-with-clinical-partners jointly-with-industry light-therapy machine-learning motion-recognition mri parameter-estimation photoplethysmography-ppg radiomics signal-analysis signal-and-system-modeling smart-devices ultrasound video-content-analysis

The project aims to create a systems in which the existing lighting infrastructure is able to detect persons in a room, their light exposure, and determine each person’s circadian phase. This way such a system can determine the optimal lighting situation for a person independently.

Image analysis Video content analysis Smart Devices Internet of things Human Circadian Rhythm Light Therapy Healthcare Intelligent lighting

In this project, you are challenged to develop novel machine learning technology for recognizing human motions.

Machine learning Motion recognition

In this project, you are challenged to design an agent that learns to solve the cocktail party problem through on-the-spot interactions with a (human) listener.

Machine Learning audio-processing