Towards Dynamic Self-Organizing Wearables for Head and Neck Digital Rehabilitation
| Type of publication: | Inproceedings |
| Citation: | |
| Booktitle: | Proceedings of the 18th ACM International Conference on Distributed and Event-based Systems |
| Series: | DEBS ’24 |
| Year: | 2024 |
| Month: | June |
| Publisher: | ACM |
| DOI: | 10.1145/3629104.3672433 |
| Abstract: | Digital rehabilitation is dramatically changing the way in which physiotherapists conduct their practice and analyse the exercises of patients. As opposed to traditional treatment with episodic verification of the therapist, patients can perform prescribed exercises at home supported by personalised assistive technologies and wearable devices. This work presents a prototype that highlights the integration of motion data streams from wearable sensors in the context of head and neck rehabilitation exercises. The system consists of self-organising devices placed in shoulders, neck, and head, set up following low-code interaction flows. Patients can interact with the platform through a tablet App that provides feedback through real-time 3D avatars and tracks data for post-exercise analytics. |
| Keywords: | digital rehabilitation, Edge Computing, eHealth, IoT, semantics |
| Authors | |
| Added by: | [] |
| Total mark: | 0 |
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