Work

Improving the activity recognition using GMAF and transfer learning in post-stroke rehabilitation assessment

Year: 2021

Type: conference-paper

Source: IEEE World Symposium on Applied Machine Intelligence and Informatics (SAMI)

DOI: 10.1109/sami50585.2021.9378670

Authors: Issam Boukhennoufa, Xiaojun Zhai, Klaus D. McDonald-Maier, Victor Utti, Jo Jackson

Institution: University of Essex

Language: English

Topic: Context-Aware Activity Recognition Systems

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Engineering and Physical Sciences Research Council

Awards: Robust remote sensing for multi-modal characterisation in nuclear and other extreme environments, Security and PrIvacy foR the Internet of Things (SPIRIT), G875901573

OpenAlex ID: W3126681358

FWCI: 1.348

Cites: 18

Cited by: 21

Related to: 10