New research project with Kempten University of Applied Sciences: AI-based determination of a biometric identity based on vital data<\/h2><\/div>January, 31st 2025, Munich\/Kempten<\/em> – cosinuss\u00b0 is launching the research project \u201cV-IDENT: AI-based determination of a biometric identity based on vital data\u201d in cooperation with Kempten University of Applied Sciences as part of the Bavarian Joint Research Programme (BayVFP) in the \u201cDigitization\u201d funding line. The aim is to enable reliable identification using biometric patterns in vital data and thus increase patient safety.<\/strong><\/p>\n<\/div><\/div><\/div><\/div><\/div>Focus on patient safety<\/h2><\/div>Advancing digitization in the healthcare sector brings with it new challenges. There is a risk of mix-ups, particularly with mobile vital signs monitoring, which can jeopardize patient safety. Errors in identification or mix-ups, for example, can lead to patients receiving medical treatment that is not intended for them. There are already approaches to identify a person based on their biometric data, e.g. via facial recognition. However, such solutions are no longer secure due to technological progress and the availability of generative AI. For example, deep fakes can outwit the facial recognition of biometric identification systems [1].<\/p>\n
V-IDENT is therefore focusing on a different type of identification: the aim of the research project is to develop an AI-based solution. This should ensure the unique identity of a patient by means of optically collected vital parameters. Studies show that vital signs are so individual that they can be used for user authentication [2] and, unlike visible biological characteristics, are more difficult to access from the outside and therefore more secure against attacks. So far, however, there are no market-ready systems that use vital signs to verify a patient’s identity before use and ensure that the correct monitoring device is being used. The solution aimed in this research project should therefore make the assignment of monitoring devices and patients in medical facilities and telemedicine applications much more secure.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
Combined know-how of the project partners<\/h2><\/div>cosinuss\u00b0 and Kempten University of Applied Sciences are pooling their expertise to set a new standard for security and efficiency in the healthcare sector with V-IDENT.<\/p>\n
cosinuss\u00b0 is responsible for the technical implementation of the project and is contributing the hardware and software solutions already developed, including a small, lightweight multiparameter sensor (c-med\u00b0 alpha<\/a>) that continuously measures vital parameters using photoplethysmography (PPG) in the patient’s ear canal. cosinuss\u00b0 is also implementing the AI methods for biometric identification in the research project and integrating them into the cosinuss\u00b0 Health<\/a> Platform.<\/p>\nKempten University of Applied Sciences is responsible for the scientific support of the project. It will carry out the user-centered requirements analysis and identify and model the relevant use cases. It will also examine the project from a regulatory, ethical and social perspective and incorporate the results into the development process as recommendations for action. In addition, the university is responsible for the final user evaluation and will identify potential improvements to the solution in terms of usability and user acceptance.<\/p>\n<\/div><\/div><\/div><\/div><\/div>
More information about the research project<\/h2><\/div>Duration<\/h3><\/div>The planned duration of the research project is from 1.2.2025 to 31.1.2027.<\/p>\n<\/div>
Funding<\/h3><\/div>The research project is funded by the Bavarian Joint Research Programme (BayVFP) of the Free State of Bavaria, funding line \u201cDigitization\u201d.<\/p>\n<\/div>
January, 31st 2025, Munich\/Kempten<\/em> – cosinuss\u00b0 is launching the research project \u201cV-IDENT: AI-based determination of a biometric identity based on vital data\u201d in cooperation with Kempten University of Applied Sciences as part of the Bavarian Joint Research Programme (BayVFP) in the \u201cDigitization\u201d funding line. The aim is to enable reliable identification using biometric patterns in vital data and thus increase patient safety.<\/strong><\/p>\n<\/div><\/div><\/div><\/div><\/div> Advancing digitization in the healthcare sector brings with it new challenges. There is a risk of mix-ups, particularly with mobile vital signs monitoring, which can jeopardize patient safety. Errors in identification or mix-ups, for example, can lead to patients receiving medical treatment that is not intended for them. There are already approaches to identify a person based on their biometric data, e.g. via facial recognition. However, such solutions are no longer secure due to technological progress and the availability of generative AI. For example, deep fakes can outwit the facial recognition of biometric identification systems [1].<\/p>\n V-IDENT is therefore focusing on a different type of identification: the aim of the research project is to develop an AI-based solution. This should ensure the unique identity of a patient by means of optically collected vital parameters. Studies show that vital signs are so individual that they can be used for user authentication [2] and, unlike visible biological characteristics, are more difficult to access from the outside and therefore more secure against attacks. So far, however, there are no market-ready systems that use vital signs to verify a patient’s identity before use and ensure that the correct monitoring device is being used. The solution aimed in this research project should therefore make the assignment of monitoring devices and patients in medical facilities and telemedicine applications much more secure.<\/p>\n<\/div><\/div><\/div><\/div><\/div> cosinuss\u00b0 and Kempten University of Applied Sciences are pooling their expertise to set a new standard for security and efficiency in the healthcare sector with V-IDENT.<\/p>\n cosinuss\u00b0 is responsible for the technical implementation of the project and is contributing the hardware and software solutions already developed, including a small, lightweight multiparameter sensor (c-med\u00b0 alpha<\/a>) that continuously measures vital parameters using photoplethysmography (PPG) in the patient’s ear canal. cosinuss\u00b0 is also implementing the AI methods for biometric identification in the research project and integrating them into the cosinuss\u00b0 Health<\/a> Platform.<\/p>\n Kempten University of Applied Sciences is responsible for the scientific support of the project. It will carry out the user-centered requirements analysis and identify and model the relevant use cases. It will also examine the project from a regulatory, ethical and social perspective and incorporate the results into the development process as recommendations for action. In addition, the university is responsible for the final user evaluation and will identify potential improvements to the solution in terms of usability and user acceptance.<\/p>\n<\/div><\/div><\/div><\/div><\/div> The planned duration of the research project is from 1.2.2025 to 31.1.2027.<\/p>\n<\/div> The research project is funded by the Bavarian Joint Research Programme (BayVFP) of the Free State of Bavaria, funding line \u201cDigitization\u201d.<\/p>\n<\/div>Focus on patient safety<\/h2><\/div>
Combined know-how of the project partners<\/h2><\/div>
More information about the research project<\/h2><\/div>
Duration<\/h3><\/div>
Funding<\/h3><\/div>
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