A review of computer vision-based approaches for physical rehabilitation and assessment

B Debnath, M O'brien, M Yamaguchi, A Behera - Multimedia Systems, 2022 - Springer
The computer vision community has extensively researched the area of human motion
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

S Sardari, S Sharifzadeh, A Daneshkhah… - Computers in Biology …, 2023 - Elsevier
Performing prescribed physical exercises during home-based rehabilitation programs plays
an important role in regaining muscle strength and improving balance for people with …

Pose-guided matching based on deep learning for assessing quality of action on rehabilitation training

Y Qiu, J Wang, Z Jin, H Chen, M Zhang… - … Signal Processing and …, 2022 - Elsevier
The application of pose assessment on rehabilitation training has gradually received
attention in recent years. However, current evaluation indicators of these methods are mostly …

The potential of computer vision-based marker-less human motion analysis for rehabilitation

T Hellsten, J Karlsson… - Rehabilitation …, 2021 - journals.sagepub.com
Background: Several factors, including the aging population and the recent corona
pandemic, have increased the need for cost effective, easy-to-use and reliable …

Unsupervised anomaly detection in time-series: An extensive evaluation and analysis of state-of-the-art methods

N Mejri, L Lopez-Fuentes, K Roy, P Chernakov… - Expert Systems with …, 2024 - Elsevier
Unsupervised anomaly detection in time-series has been extensively investigated in the
literature. Notwithstanding the relevance of this topic in numerous application fields, a …

Assessing human motion during exercise using machine learning: A literature review

F Frangoudes, M Matsangidou, EC Schiza… - IEEE …, 2022 - ieeexplore.ieee.org
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 …

Artificial intelligence techniques empowered edge-cloud architecture for brain CT image analysis

FFX Vasconcelos, RM Sarmento… - … Applications of Artificial …, 2020 - Elsevier
Strokes are one of the leading causes of death in the world. Despite the high mortality rate,
chances of recovery are high when an accurate diagnosis is made quickly, and appropriate …

Home-based exercise using balance disc and smartphone inclinometer application improves balance and activity of daily living in individuals with stroke: A …

P Aphiphaksakul, A Siriphorn - Plos one, 2022 - journals.plos.org
Background Sitting ability is critical for daily activities in individuals who have experienced a
stroke. A combination of seated balance training on an unstable surface and real-time visual …

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 …

Designing Effective Visual Feedback for Facial Rehabilitation Exercises: Investigating the Role of Shape, Transparency, and Age on User Experience

S Gwak, K Park - Healthcare, 2023 - mdpi.com
Facial expression recognition technology has been utilized both for entertainment purposes
and as a valuable aid in rehabilitation and facial exercise assistance. This technology …