Published September 21, 2021
| Version v1
Publication
Evaluating Wearable Activity Recognition and Fall Detection Systems
Description
Activity recognition (AR) and fall detection (FD) research areas are very related in assistance scenarios but evolve independently. Evaluate them is not trivial and the lack of FD real-world datasets implies a big issue. A protocol that fuses AR and FD is proposed to achieve a large, open and growing dataset that could, potentially, provide an enhanced understanding of the activities and fall process and the information needed to design and evaluate high-performance systems.
Abstract
Junta de Andalucía P11-TIC-8052
Abstract
Ministerio de Economía y Competitividad TIN2013-46801-C4
Additional details
- URL
- https://idus.us.es/handle//11441/126067
- URN
- urn:oai:idus.us.es:11441/126067
- Origin repository
- USE