Applications of pose estimation in human health and performance across the lifespan
The emergence of pose estimation algorithms represents a potential paradigm shift in the
study and assessment of human movement. Human pose estimation algorithms leverage …
study and assessment of human movement. Human pose estimation algorithms leverage …
Markerless human pose estimation for biomedical applications: a survey
Markerless Human Pose Estimation (HPE) proved its potential to support decision making
and assessment in many fields of application. HPE is often preferred to traditional marker …
and assessment in many fields of application. HPE is often preferred to traditional marker …
Assessment of spatiotemporal gait parameters using a deep learning algorithm-based markerless motion capture system
Spatiotemporal parameters can characterize the gait patterns of individuals, allowing
assessment of their health status and detection of clinically meaningful changes in their gait …
assessment of their health status and detection of clinically meaningful changes in their gait …
BiomacVR: A virtual reality-based system for precise human posture and motion analysis in rehabilitation exercises using depth sensors
Remote patient monitoring is one of the most reliable choices for the availability of health
care services for the elderly and/or chronically ill. Rehabilitation requires the exact and …
care services for the elderly and/or chronically ill. Rehabilitation requires the exact and …
Human cinematic capture and movement system through kinect: A detailed and innovative review
There are many techniques focused on capturing the kinematic movement of the human
body, all these techniques help in the creation of robotic devices to achieve efficient …
body, all these techniques help in the creation of robotic devices to achieve efficient …
Deep learning-based upper limb functional assessment using a single kinect v2 sensor
Y Ma, D Liu, L Cai - Sensors, 2020 - mdpi.com
We develop a deep learning refined kinematic model for accurately assessing upper limb
joint angles using a single Kinect v2 sensor. We train a long short-term memory recurrent …
joint angles using a single Kinect v2 sensor. We train a long short-term memory recurrent …
A survey of technologies facilitating home and community-based stroke rehabilitation
X Sun, J Ding, Y Dong, X Ma, R Wang… - … Journal of Human …, 2023 - Taylor & Francis
Stroke is a cardiovascular and cerebrovascular disease that affects the aged population at a
high rate. Patients' functional disabilities can be reduced with effective rehabilitation training …
high rate. Patients' functional disabilities can be reduced with effective rehabilitation training …
A novel scoring approach for the Wolf Motor Function Test in stroke survivors using motion-sensing technology and machine learning: A preliminary study
Background and objective Human-administered clinical scales, such as the Functional
Ability Scale of the Wolf Motor Function Test (WMFT-FAS), are widely utilized to evaluate …
Ability Scale of the Wolf Motor Function Test (WMFT-FAS), are widely utilized to evaluate …
A multiview depth-based motion capture benchmark dataset for human motion denoising and enhancement research
The field of human motion enhancement is a rapidly expanding field of study in which depth-
based motion capture (D-Mocap) is improved to generate a more accurate counterpart for …
based motion capture (D-Mocap) is improved to generate a more accurate counterpart for …
Multiview video-based 3-D pose estimation of patients in computer-assisted rehabilitation environment (CAREN)
W Xu, D **ang, G Wang, R Liao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The computer-assisted rehabilitation environment (CAREN) system plays an important role
in the training of rehabilitation patients, where the capture of the patient's 3-D pose and gait …
in the training of rehabilitation patients, where the capture of the patient's 3-D pose and gait …