A comprehensive analysis of the machine learning pose estimation models used in human movement and posture analyses: a narrative review

F Roggio, B Trovato, M Sortino, G Musumeci - Heliyon, 2024 - cell.com
The accurate measurement and analysis of human movement are essential in fields ranging
from rehabilitation and neuroscience to sports science and ergonomics. Traditional …

Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques

F Qu, N Dang, B Furht, M Nojoumian - Journal of Big Data, 2024 - Springer
The flourishing realm of advanced driver-assistance systems (ADAS) as well as autonomous
vehicles (AVs) presents exceptional opportunities to enhance safe driving. An essential …

Feasibility of 3d body tracking from monocular 2D video feeds in musculoskeletal telerehabilitation

C Clemente, G Chambel, DCF Silva, AM Montes… - Sensors, 2023 - mdpi.com
Musculoskeletal conditions affect millions of people globally; however, conventional
treatments pose challenges concerning price, accessibility, and convenience. Many …

Computer vision for kinematic metrics of the drinking task in a pilot study of neurotypical participants

J Huber, S Slone, J Bae - Scientific Reports, 2024 - nature.com
Assessment of the upper limb is critical to guiding the rehabilitation cycle. Drawbacks of
observation-based assessment include subjectivity and coarse resolution of ordinal scales …

A multimodal model-fusion approach for improved prediction of freezing of gait in Parkinson's disease

R Bajpai, S Khare, D Joshi - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Freezing of gait (FoG) is a widely observed movement disorder in patients with Parkinson's
disease (PD). Its prediction is crucial for effectively giving the cue to avoid FoG occurrence …

A-GAS: A probabilistic approach for generating automated gait assessment score for cerebral palsy children

R Bajpai, D Joshi - IEEE Transactions on Neural Systems and …, 2021 - ieeexplore.ieee.org
Gait disorders in children with cerebral palsy (CP) affect their mental, physical, economic,
and social lives. Gait assessment is one of the essential steps of gait management. It has …

Mobirfpose: Portable rf-based 3d human pose camera

C Yu, D Zhang, Z Wu, C **e, Z Lu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Existing RF-based human pose estimation methods usually require intensive computations
and cannot meet the real-time processing and portability requirements for mobile devices …

Foot2hip: A deep neural network model for predicting lower limb kinematics from foot measurements

R Bajpai, D Joshi - IEEE/ASME Transactions on Mechatronics, 2023 - ieeexplore.ieee.org
Objective: This study aims to develop a neural network (foot2hip) for long-term recording of
gait kinematics with improved user comfort. Methods: Foot2hip predicts ankle, knee, and hip …

Optimizing representations of multiple simultaneous attributes for gait generation using deep learning

A Sharma, E Rombokas - IEEE Transactions on Neural …, 2023 - ieeexplore.ieee.org
Rich variations in gait are generated according to several attributes of the individual and
environment, such as age, athleticism, terrain, speed, personal “style”, mood, etc. The effects …

Modeling and individualizing continuous joint kinematics using Gaussian process enhanced Fourier series

Y Huang, H An, H Ma, Q Wei - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
Prosthetic discrete controller relies on finite state machines to switch between a set of
predefined task-specific controllers. Therefore the prosthesis can only perform a limited …