A 1.27-mW Battery-Powered Multimodal Biosensor Interface IC for Wireless Motion Intention Recognition in Wearable Robots
Wearable robots augment human capabilities across diverse sectors, including healthcare, industry, and the military. In particular, walking assistance exoskeletons aid individuals suffering from reduced mobility. An accurate motion intention recognition system offers precise assistance in using wearable robots, helping adapt to individual movement patterns to enhance the robot’s operation efficiency and the user’s convenience.
Authors
- Minkyu Je (ORCID: https://orcid.org/0000-0003-4580-2771)
- Sohmyung Ha (ORCID: https://orcid.org/0000-0003-3589-086X)
- Ji-Hoon Suh (ORCID: https://orcid.org/0000-0002-3410-8736)
- Haidam Choi (ORCID: https://orcid.org/0009-0006-4631-2554)
- Jimin Koo
- Sein Oh (ORCID: https://orcid.org/0000-0002-1540-5102)
- Yoontae Jung (ORCID: https://orcid.org/0000-0003-0461-6729)
- Hoyong Seong
- Sunglim Han
- Yegeun Kim
- Heewon Choee (ORCID: https://orcid.org/0009-0000-4080-8993)
- Injun Choi
- Changhun Seok
- Jiho Chun (ORCID: https://orcid.org/0009-0006-0965-9241)
Institutions
- New York University Abu Dhabi (AE)
- SK Group (South Korea) (KR)
- Korea Advanced Institute of Science and Technology (KR)
- Samsung (South Korea) (KR)
Publication Details
- Published
- 2024-11-18
- DOI
- https://doi.org/10.1109/a-sscc60305.2024.10849060
- Primary Topic
- Energy Harvesting in Wireless Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation
- IC Design Education Center