Deep learning-based human pose estimation: A survey

C Zheng, W Wu, C Chen, T Yang, S Zhu, J Shen… - ACM Computing …, 2023 - dl.acm.org
Human pose estimation aims to locate the human body parts and build human body
representation (eg, body skeleton) from input data such as images and videos. It has drawn …

Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson's disease motor symptoms

AS Chandrabhatla, IJ Pomeraniec… - NPJ digital …, 2022 - nature.com
Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor
impairments such as tremor, bradykinesia, dyskinesia, and gait abnormalities. Current …

The devil is in the details: Delving into unbiased data processing for human pose estimation

J Huang, Z Zhu, F Guo… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Recently, the leading performance of human pose estimation is dominated by top-down
methods. Being a fundamental component in training and inference, data processing has …

Applications of pose estimation in human health and performance across the lifespan

J Stenum, KM Cherry-Allen, CO Pyles, RD Reetzke… - Sensors, 2021 - mdpi.com
The emergence of pose estimation algorithms represents a potential paradigm shift in the
study and assessment of human movement. Human pose estimation algorithms leverage …

Computer vision quantification of whole-body Parkinsonian bradykinesia using a large multi-site population

G Morinan, Y Dushin, G Sarapata… - npj Parkinson's …, 2023 - nature.com
Parkinson's disease (PD) is a common neurological disorder, with bradykinesia being one of
its cardinal features. Objective quantification of bradykinesia using computer vision has the …

Quantifying Parkinson's disease motor severity under uncertainty using MDS-UPDRS videos

M Lu, Q Zhao, KL Poston, EV Sullivan… - Medical image …, 2021 - Elsevier
Parkinson's disease (PD) is a brain disorder that primarily affects motor function, leading to
slow movement, tremor, and stiffness, as well as postural instability and difficulty with …

Home action genome: Cooperative compositional action understanding

N Rai, H Chen, J Ji, R Desai… - Proceedings of the …, 2021 - openaccess.thecvf.com
Existing research on action recognition treats activities as monolithic events occurring in
videos. Recently, the benefits of formulating actions as a combination of atomic-actions have …

Detection and assessment of Parkinson's disease based on gait analysis: A survey

Y Guo, J Yang, Y Liu, X Chen, GZ Yang - Frontiers in aging …, 2022 - frontiersin.org
Neurological disorders represent one of the leading causes of disability and mortality in the
world. Parkinson's Disease (PD), for example, affecting millions of people worldwide is often …

Vision-based estimation of MDS-UPDRS scores for quantifying Parkinson's disease tremor severity

W Liu, X Lin, X Chen, Q Wang, X Wang, B Yang… - Medical Image …, 2023 - Elsevier
Parkinson's disease (PD) is a common neurodegenerative movement disorder among older
individuals. As one of the typical symptoms of PD, tremor is a critical reference in the PD …

A clinically interpretable computer-vision based method for quantifying gait in parkinson's disease

S Rupprechter, G Morinan, Y Peng, T Foltynie, K Sibley… - Sensors, 2021 - mdpi.com
Gait is a core motor function and is impaired in numerous neurological diseases, including
Parkinson's disease (PD). Treatment changes in PD are frequently driven by gait …