60 https://www.uni-bremen.de/en/csl/projects en University of Bremen Tue, 17 Mar 2026 14:09:55 +0100 Tue, 17 Mar 2026 14:09:55 +0100 University of Bremen content-531555 Thu, 05 Mar 2026 12:53:41 +0100 https://www.uni-bremen.de/en/csl/projects#c531555 <p>Duration and funding organization: since 2023, Deutsche Forschungsgemeinschaft(DFG)</p> <p>The massive influx of health data in combination with recent advancements in artificial intelligence holds great potential to transform the health sciences. In LifeSpanAI, we envision to advance AI methods and tools to model, predict, and explain health outcomes from multi-dimensional data that span the entire life.</p> Content content-531556 Thu, 05 Mar 2026 12:53:41 +0100 https://www.uni-bremen.de/en/csl/projects#c531556 <p>The aim of SilPara is to lay the foundations of Silent Paralinguistics (SP), i.e., first, to infer speaker states and traits from speech-related biosignals during silent speech production and second, to use this inferred paralinguistic information for a more natural spoken conversation. Finally, we will study the case of speech features involved in politeness and frustration to improve our understanding of their role in communication</p> Content content-531564 Thu, 05 Mar 2026 12:53:41 +0100 https://www.uni-bremen.de/en/csl/projects#c531564 <p>Duration and funding organization: since 2021. Deutsche Forschungsgemeinschaft (DFG) (Gepris) and National Science Centre, Poland</p> <p>Hate speech, i.e., verbal aggression targeting members of various social groups, is widespread in everyday life. It has detrimental consequences for everybody exposed to it. Through our research, we aim to understand both, the underlying properties of hate speech, and its impact on listeners.</p> Content content-531565 Thu, 05 Mar 2026 12:53:41 +0100 https://www.uni-bremen.de/en/csl/projects#c531565 <p>In the SmartHelm project, an intelligent helmet is being developed to support courier drivers on the last mile. The helmet has augmented-reality glasses such that the drivers can carry out their tasks with computer assistance, but in a "hands-free" manner. It uses electroencephalography (EEG) and eye movements to detect the person's attention state such that the user interface can be automatically adjusted. The SmartHelm also has multilingual speech recognition such that that users can send voice commands to the system.</p> Content content-531566 Thu, 05 Mar 2026 12:53:41 +0100 https://www.uni-bremen.de/en/csl/projects#c531566 <p>In the research project ADSPEED our team is working on the decoding of imagined speech in real-time. The goal is to use modern machine learning methods to reconstruct audible speech from invasively measured brain signals and thus explore fundamental questions for a natural and practical communication device that operates in real time and restores natural communication for people with severe speech impairments.</p> Content content-531568 Thu, 05 Mar 2026 12:53:41 +0100 https://www.uni-bremen.de/en/csl/projects#c531568 Content content-531567 Thu, 05 Mar 2026 12:53:41 +0100 https://www.uni-bremen.de/en/csl/projects#c531567 <p>Duration and funding organization: 1st phase 2019-2023 and 2nd phase 2023-2027, Leibniz-Gemeinschaft/Bund/Land</p> <p>The campus will focus on the digitization of health with smart technologies and how to use data for the benefit of all, while maintaining privacy and data security and bridging the digital divide between populations.</p> Content content-531569 Thu, 05 Mar 2026 12:53:41 +0100 https://www.uni-bremen.de/en/csl/projects#c531569 <p>Duration and funding organization: Until 03/2026 (2nd phase), Deutsche Forschungsgemeinschaft (DFG)<br /> <br /> The KD2School is a DFG-funded research training group with the topic "Design of adaptive systems for economic decisions". A central aspect of the Research Training Group is its interdisciplinary approach, which combines research from the fields of computer science, economics, and psychology. The goal is to investigate the human decision-making process via the interaction of personal, task-related and environmental factors. With the help of LabLinking, cross-site studies are created that link working groups at the University of Bremen, the Karlsruhe Institute of Technology and the University of Giessen.</p> Content content-531554 Thu, 05 Mar 2026 12:53:41 +0100 https://www.uni-bremen.de/en/csl/projects#c531554 <p>The Karlsruhe Decision & Design Lab (KD²Lab) is a 40-unit experimental lab fully equipped to capture and process a large variety of biosignals (fNIRS, EEG, EMG, EDA, Motion, Video, Speech) to study human-machine interfaces.</p> Content content-635343 Thu, 05 Mar 2026 12:53:41 +0100 https://www.uni-bremen.de/en/csl/projects#c635343 <p>Duration and funding organization: 08/2024- 07/2027, Bund: G-BA Innovationsausschuss<br /> <br /> The SAVE & SAFE project is an innovative initiative aimed at improving the care of geriatric patients with a history of falls while also relieving the burden on nursing staff. By integrating modern technologies and a digital AI-assisted system for preventive fall prevention, the project seeks to enhance patient safety and overall healthcare quality. Interdisciplinary collaboration among all project participants ensures the best possible care for patients.</p> Content content-635345 Thu, 05 Mar 2026 12:53:41 +0100 https://www.uni-bremen.de/en/csl/projects#c635345 <p>Duration and funding organization: 01/2022 - 12/2024, Deutsche Forschungsgemeinschaft (DFG)<br /> <br /> Minds, Media, Machines is an interdisciplinary network of researchers at the University of Bremen and of collaborators at national and international partner institutions. They are collaborating to advance our understanding of intelligence and cognition in autonomous agents and agent teams in the context of mediatized worlds. </p> Content content-531552 Thu, 05 Mar 2026 12:53:41 +0100 https://www.uni-bremen.de/en/csl/projects#c531552 <p>In the MyVoice project, a speech prosthesis is being developed that uses the activity of facial muscles during speech production. Users of the system can "speak silently" by moving their facial muscles without producing audible sounds. The system processes the recorded muscle activity using machine learning models to synthesize the acoustic speech signal.</p> Content content-531553 Thu, 05 Mar 2026 12:53:41 +0100 https://www.uni-bremen.de/en/csl/projects#c531553 <p>Professional long-term care has already been under increased pressure for several years. Due to shortage in labor and hence increased workload, a high health burden is on employees in the care sector and documents the precarious situation. With ETAP we are developing an artificial intelligence (AI)-based movement monitoring system for elderly people in need of care and implementing it in outpatient and inpatient long-term care. Partial automation for fall detection and for recording functional mobility status, partial automation of the associated documentation are the major goals of the project. For this purpose, parts of the nursing documentation related to fall events, and functional mobility as well as positioning protocols are filled AI-supported and automatically. We are developing and investigating AI solutions for automatic fall detection, monitoring movements of residents in care facilities using depth camera images with the help of modern machine learning algorithms.</p> Content content-531557 Thu, 05 Mar 2026 12:53:41 +0100 https://www.uni-bremen.de/en/csl/projects#c531557 <p>It has been consistently found that humans tend to copy aspects of other people’s behavior (i.e. “behavioral matching”, “behavioral or emotional contagion”, “automatic imitation”, “chameleon effect”) in social situations. Such copying of behavior is thought to be important for the outcome of social interactions. Our approach aims to understand the mechanisms underlying such “social resonance”.</p> Content content-531558 Thu, 05 Mar 2026 12:53:41 +0100 https://www.uni-bremen.de/en/csl/projects#c531558 <p><a href="https://www.uni-bremen.de/csl/projekte/aktuelle-projekte/intel4coro">IntEL4CoRo</a></p> Content content-531559 Thu, 05 Mar 2026 12:53:41 +0100 https://www.uni-bremen.de/en/csl/projects#c531559 <p>In the CRC EASE, robots learn to master complex everyday activities. In our subprojects H3 and H4, we focus on modeling such activites of humans via multimodal biosignals in the lab and in virtual reality (via LabLinking also in multiple locations at the same time).</p> Content content-531560 Thu, 05 Mar 2026 12:53:41 +0100 https://www.uni-bremen.de/en/csl/projects#c531560 <p>Duration and funding organization: 2021–12/2024 U Bremen Research Alliance/AI Center for Health Care, financially supported by the Federal State of Bremen</p> <p><br /> In NAKO+ILSE we team up with Fraunhofer MEVIS to investigate a multi-modal approach for early dementia detection. To this end, we merge conversational speech, as in our previous work with the ILSE study, with brain imaging. To achieve this, we collect a core overlap dataset of autobiographical interviews and MRI data from 500 participants of the German National Cohort (NAKO). Based on this core overlap, our aim is to fuse the NAKO and ILSE populations into a shared dataset, allowing for enhanced early dementia detection.</p> Content content-531561 Thu, 05 Mar 2026 12:53:41 +0100 https://www.uni-bremen.de/en/csl/projects#c531561 <p>Duration and funding organization: since 2017, Klaus Tschira Stiftung</p> <p>The focus of the interdisciplinary research training group is on investigations into how human-machine interaction can be designed so that resulting systems have a holistic and sustainable positive effect for both individuals and society.</p> Content content-531562 Thu, 05 Mar 2026 12:53:41 +0100 https://www.uni-bremen.de/en/csl/projects#c531562 <p>Duration and funding organization: since 1995, mixed Funding</p> <p><br /> As part of the GlobalPhone project, speech has been recorded in many countries around the world since 1995. For each language, about 100 native speakers read out newspaper texts. The texts and speech are used to develop pronunciation dictionaries, and large language models are also provided based on extensive text material. GlobalPhone now covers 25 languages, including the top 10 most commonly spoken languages.</p> Content content-638992 Thu, 05 Mar 2026 12:53:41 +0100 https://www.uni-bremen.de/en/csl/projects#c638992 <p>Duration and funding organization: 10/2024 - 09/2029, DFG</p> <p>The DFG-funded HEARAZ Research Training Group is dedicated to inter- and transdisciplinary education and research in the field of sensor technology close to the ear. The aim is to comprehensively research the application of biosensors for the detection and compensation of age-associated functional limitations and to develop innovative technical assistance systems.</p> Content content-635357 Thu, 05 Mar 2026 12:53:41 +0100 https://www.uni-bremen.de/en/csl/projects#c635357 <p>Duration and funding organization: 10/2024 - 12/2028, EFRE</p> <p>We aim to enable naturalistic biosignal recordings of everyday activities in the wild. The project will capture high-frequency, continuous, and multi-sensor data, in order to establish the prerequisites for the development of human-centred Al tools. </p> Content content-635355 Thu, 05 Mar 2026 12:53:41 +0100 https://www.uni-bremen.de/en/csl/projects#c635355 <p>Duration and funding organization: Since 2019, German Research Foundation (DFG)</p> <p>The Machine Listening Lab (MLL) represents one of the U Bremen Excellence Chairs projects and aims to integrate the human ability of Selective Listening into machines. <br /> This ability allows humans to focus on a specific sound source while fading out all remaining sound sources. Typically, this is also referred to as "The Cocktail Party Problem". Hearing-impaired individuals often lose this ability or can only perform it to a limited extend, making hearing aids necessary. </p> Content content-635341 Thu, 05 Mar 2026 12:53:41 +0100 https://www.uni-bremen.de/en/csl/projects#c635341 <p>Duration and funding organization: Since 03/2023 - 02/2027</p> <p>How can millions of pieces of data be automatically bundled and processed to train algorithms while protecting sensitive content and safeguarding the privacy of those affected? We would like to tackle this task with the topic of AI-based text processing while preserving privacy and data protection (privacy-preserving natural language processing).</p> Content