3D Machine Vision and Deep Learning for Enabling Automated and Sustainable Assistive Physiotherapy-Reference-Cited by-同舟云学术

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3D Machine Vision and Deep Learning for Enabling Automated and Sustainable Assistive Physiotherapy

Published:2023-07-24 Issue: Volume:19 Page:1247-1253
ISSN:
Container-title:2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE)
language:
Short-container-title:

Author:

Smith Lyndon¹,Boyd Stephen²,Bhatta Devaki²,Smith Melvyn¹

Affiliation:

1. University of the West of England, Bristol,Centre for Machine Vision Bristol Robotics Laboratory (BRL),Bristol,UK

2. Perseptive Ltd.,London,UK

Funder

Innovate UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10487132/10487174/10487318.pdf?arnumber=10487318

Reference29 articles.

1. Multicomponent exercises including muscle power training enhance muscle mass, power output, and functional outcomes in institutionalized frail nonagenarians

2. Exercise to prevent falls in older adults: an updated meta-analysis and best practice recommendations

3. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

4. Lost productive life years caused by chronic conditions in Australians aged 45–64 years, 2010–2030

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