Abstract
The goal of this research is to support the disabled who want to restore upper limb motor function lost by stroke, injury or other causes. These days, existing companies, utilizing traditional technologies for sensing and actuating devices, are facing a new market trend which is integration of artificial intelligence technology. Our work aims to facilitate AT-HOME automated rehabilitation which demands smart and safe adaptation of rehabilitative systems. This paper presents the scope of our project, an application scenario including activities of daily living (ADL), and extracted use cases for this project.
| Original language | English |
|---|---|
| Title of host publication | ICTC 2019 - 10th International Conference on ICT Convergence |
| Subtitle of host publication | ICT Convergence Leading the Autonomous Future |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1113-1116 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781728108926 |
| DOIs | |
| Publication status | Published - Oct 2019 |
| Event | 10th International Conference on Information and Communication Technology Convergence, ICTC 2019 - Jeju Island, Korea, Republic of Duration: 16 Oct 2019 → 18 Oct 2019 |
Publication series
| Name | ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future |
|---|
Conference
| Conference | 10th International Conference on Information and Communication Technology Convergence, ICTC 2019 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Jeju Island |
| Period | 16/10/19 → 18/10/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- home-care
- Rehabilitation
- upper limb
- use case
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