Design for Assistive Technologies and Rehabilitation
A variety of relevant health and fitness parameters are now being captured via an ecosystem of consumer-oriented self-tracking devices, smartphone apps and related services. Techniques from information science, sociology, psychology, design, statistics, machine learning and data mining are applied for developing these systems.
These techniques provide new opportunities to enrich the understanding of individual and population health. Moreover, these system can be applied non only for self-tracking of everyday behavior and lifestyle, but can be also used for rehabilitation monitoring and self-diagnosis.
Design for Rehabilitation is the opportunity to discus on these topics from the different points of view of different stakeholder; bringing to discussion projects designed for different rehabilitation purposes.
Topic:
- Rehabilitation technologies
- Robotics rehabilitation
- Wearable sensing
- Embedded sensors
- AI/ML technologies
- Smart Prosthetics
- Healthcare design
- UCD & Co-design for health
- mHealth and eHealth
- Pervasive Health
- AAL solutions
Chairs
Paolo Perego, Politecnico di Milano, Design department
Mario Covarrubias, Politecnico di Milano, Mechanical Engineering Department
Giuseppe Andreoni, Politecnico di Milano, Design department
Contributions to a STS have to be submitted using the standard submission procedures of ICCHP-AAATE.
When submitting your contribution please make sure to select the right STS from the drop-down list "Special Thematic Session". Contributions to a STS are evaluated by the Programme Committee of ICCHP-AAATE and by the chair(s) of the STS. Please get in contact with the STS chair(s) for discussing your contribution and potential involvement in the session. Submission Deadlines for Contributions to STSs: February, 6, 2022 for publishing in Springer Lecture Notes in Computer Science, March 3, 2022 for publishing in the Open Access Compendium.