A review of computer vision-based approaches for physical rehabilitation and assessment
The computer vision community has extensively researched the area of human motion
analysis, which primarily focuses on pose estimation, activity recognition, pose or gesture …
analysis, which primarily focuses on pose estimation, activity recognition, pose or gesture …
[HTML][HTML] Artificial Intelligence for skeleton-based physical rehabilitation action evaluation: A systematic review
Performing prescribed physical exercises during home-based rehabilitation programs plays
an important role in regaining muscle strength and improving balance for people with …
an important role in regaining muscle strength and improving balance for people with …
Automatic and efficient fall risk assessment based on machine learning
Automating fall risk assessment, in an efficient, non-invasive manner, specifically in the
elderly population, serves as an efficient means for implementing wide screening of …
elderly population, serves as an efficient means for implementing wide screening of …
Assessing human motion during exercise using machine learning: A literature review
The World Health Organization promotes healthy living through regular physical activities,
such as exercise and sports, as well as access to healthcare and rehabilitation services for …
such as exercise and sports, as well as access to healthcare and rehabilitation services for …
Computer vision for kinematic metrics of the drinking task in a pilot study of neurotypical participants
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 …
observation-based assessment include subjectivity and coarse resolution of ordinal scales …
Abnormal motION capture in aCute stroke (BIONICS): a low-cost tele-evaluation tool for automated assessment of upper extremity function in stroke patients
SA Zamin, K Tang, EA Stevens… - … and neural repair, 2023 - journals.sagepub.com
Background The incidence of stroke and stroke-related hemiparesis has been steadily
increasing and is projected to become a serious social, financial, and physical burden on …
increasing and is projected to become a serious social, financial, and physical burden on …
3D motion capture system for assessing patient motion during Fugl‐Meyer stroke rehabilitation testing
The authors introduce a novel marker‐less multi‐camera setup that allows easy
synchronisation between 3D cameras as well as a novel pose estimation method that is …
synchronisation between 3D cameras as well as a novel pose estimation method that is …
Spatio-temporal calibration of multiple kinect cameras using 3d human pose
RGB and depth cameras are extensively used for the 3D tracking of human pose and
motion. Typically, these cameras calculate a set of 3D points representing the human body …
motion. Typically, these cameras calculate a set of 3D points representing the human body …
Effective Quantization Evaluation Method of Functional Movement Screening with Improved Gaussian Mixture Model
R Hong, Q Xing, Y Shen, Y Shen - Applied Sciences, 2023 - mdpi.com
Background: Functional movement screening (FMS) allows for the rapid assessment of an
individual's physical activity level and the timely detection of sports injury risk. However …
individual's physical activity level and the timely detection of sports injury risk. However …
[HTML][HTML] LightPRA: A Lightweight Temporal Convolutional Network for Automatic Physical Rehabilitation Exercise Assessment
Research evidence shows that physical rehabilitation exercises prescribed by medical
experts can assist in restoring physical function, improving life quality, and promoting …
experts can assist in restoring physical function, improving life quality, and promoting …