Work

Automated Segmentation of the Timed-Up-And-Go Test Using Millimetre-Wave Radar Sensors for Mobility Assessment

Year: 2025

Type: conference-paper

Source: International Conference on Computing, Networks and Internet of Things (CNIOT)

DOI: 10.1109/cniot65435.2025.11070810

Authors: Kailu Guo, Elif Dogu, Khalid Z. Rajab

Institution: Queen Mary University of London

Language: English

Topic: Context-Aware Activity Recognition Systems

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDGs: Good health and well-being, Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: closed

Funder: Engineering and Physical Sciences Research Council

OpenAlex ID: W4412404574

FWCI: 1.566

Cites: 15

Cited by: 2

Related to: 10