The HiSSS project aims to improve health care with the help of hybrid and interactive theletherapeutic approaches. For this purpose, a therapy system will be developed in the project that can be used for both presence therapy and video therapy as well as for self-training. The system works without permanent contact to a therapist but continuous speech and language therapy.
The Fraunhofer IDMT in Oldenburg is supporting the project in a sub-project with machine learning and artificial intelligence methods. On the one hand, the optical analysis of the face and oral movements will be further developed. On the other hand, speech and language data are recorded after a stroke. Automatic speech recognition and evaluation technologies will be used for ratings and feedback within the digital therapy system.
A stroke can be accompanied by impairments in speech and language functions and lead to a significant reduction in quality of life. The logopaedic therapy of these communication disorders requires intensive and continuous contact with patients. The project can make a valuable contribution to this and enable meaningful digital therapy.