AUBADE

AUBADE project provides an innovative tool that will lead professionals to a deep study, analysis, understanding, and comprehension of neurological diseases and human emotions.

AUBADE project has developed an intelligent, multisensor and wearable system for the assessment of the emotional state of humans under special conditions. The project has involved the utilization of innovative technologies such as the recognition of the emotions after the processing of the following biomedical signals: EMG, obtained from the face of the users, ECG, skin conductivity and respiration rate.

AUBADE results in a modular and multifunctional system to be applicable in different areas. Initially it is being be utilized in the health sector, primarily in the neurology and psychology areas, and also in the car racing sector.

AUBADE objective is the implementation of an intelligent, multisensorial wearable system that can ubiquitously monitor and classify the emotional state of users in near time using signals mainly obtained from their faces.

AUBADE platform incorporates a wearable system that obtains signals from multiple appropriate biosensors mainly placed on the face of the user (EMG, ECG, skin conductivity and respiration rate). The system is being used in a variety of healthcare applications mainly in the neurology and psychology field. Additionally, there are other areas of application, as the racing car sector.

AUBADE has been designed to be highly modular and can be easily adapted or break-up in stand alone modules, in order to accommodate a wide variety of neurological and psychological conditions.

For further information, please visit:
http://www.aubade-group.com

Project co-ordinator:
SIEMENS, S.A.

Partners:

  • SIEMENS, S.A. (ES)
  • AZIENDA UNITA SANITARIA LOCALE DI MODENA (IT)
  • ANCO S.A. Agencies, Commerce & Industry (GR)
  • University of Ioannina (GR)
  • MASERATI S.P.A. (IT)

Timetable: from 01/04 - to 07/06

Total cost: € 3.567.434,98

EC funding: € 2.000.000

Instrument: STREP

Project Identifier: IST-2002-507605

Most Popular Now

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

Groundbreaking AI Aims to Speed Lifesavi…

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes...

AI Spots Hidden Signs of Depression in S…

Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or...

AI Tools Help Predict Severe Asthma Risk…

Mayo Clinic researchers have developed artificial intelligence (AI) tools that help identify which children with asthma face the highest risk of serious asthma exacerbation and acute respiratory infections. The study...

AI Model Forecasts Disease Risk Decades …

Imagine a future where your medical history could help predict what health conditions you might face in the next two decades. Researchers have developed a generative AI model that uses...

ChatGPT 4o Therapeutic Chatbot 'Ama…

One of the first randomized controlled trials assessing the effectiveness of a large language model (LLM) chatbot 'Amanda' for relationship support shows that a single session of chatbot therapy...

AI Model Indicates Four out of Ten Breas…

A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from axillary surgery. The model analyses previously unutilised information...

AI Distinguishes Glioblastoma from Look-…

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments. The...

Smart Device Uses AI and Bioelectronics …

As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring. A wearable device called "a-Heal," designed by engineers at the University...

Overcoming the AI Applicability Crisis a…

Opinion Article by Harry Lykostratis, Chief Executive, Open Medical. The government’s 10 Year Health Plan makes a lot of the potential of AI-software to support clinical decision making, improve productivity, and...

Dartford and Gravesham Implements Clinis…

Dartford and Gravesham NHS Trust has taken a significant step towards a more digital future by rolling out electronic test ordering using Clinisys ICE. The trust deployed the order communications...